메뉴 건너뛰기




Volumn 97, Issue , 2018, Pages 205-227

The use of machine learning algorithms in recommender systems: A systematic review

Author keywords

Application domains; Machine learning; Machine learning algorithms; Performance metrics; Recommender systems; Systematic review of the literature

Indexed keywords

ARTIFICIAL INTELLIGENCE; BIG DATA; LEARNING SYSTEMS; RECOMMENDER SYSTEMS;

EID: 85038908185     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2017.12.020     Document Type: Review
Times cited : (551)

References (187)
  • 2
    • 20844435854 scopus 로고    scopus 로고
    • Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions
    • Adomavicius, G., Tuzhilin, A., Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering 17:6 (2005), 734–749, 10.1109/TKDE.2005.99.
    • (2005) IEEE Transactions on Knowledge and Data Engineering , vol.17 , Issue.6 , pp. 734-749
    • Adomavicius, G.1    Tuzhilin, A.2
  • 3
    • 84880083510 scopus 로고    scopus 로고
    • The infinite push: A new support vector ranking algorithm that directly optimizes accuracy at the absolute top of the list
    • Agarwal, S., The infinite push: A new support vector ranking algorithm that directly optimizes accuracy at the absolute top of the list. 2011, 839–850.
    • (2011) , pp. 839-850
    • Agarwal, S.1
  • 4
    • 85013239115 scopus 로고    scopus 로고
    • Content-based recommender systems
    • Springer International Publishing Cham
    • Aggarwal, C.C., Content-based recommender systems. Recommender Systems: The Textbook, 2016, Springer International Publishing, Cham, 139–166, 10.1007/978-3-319-29659-3_4.
    • (2016) Recommender Systems: The Textbook , pp. 139-166
    • Aggarwal, C.C.1
  • 5
    • 85026664899 scopus 로고    scopus 로고
    • Model-based collaborative filtering
    • Springer International Publishing Cham doi:
    • Aggarwal, C.C., Model-based collaborative filtering. Recommender Systems: The Textbook, 2016, Springer International Publishing, Cham, 71–138) doi: 10.1007/978-3-319-29659-3_3.
    • (2016) Recommender Systems: The Textbook , pp. 71-138)
    • Aggarwal, C.C.1
  • 6
    • 85026664899 scopus 로고    scopus 로고
    • Neighborhood-based collaborative filtering
    • Springer International Publishing Cham doi:
    • Aggarwal, C.C., Neighborhood-based collaborative filtering. Recommender Systems: The Textbook, 2016, Springer International Publishing, Cham, 29–70) doi: 10.1007/978-3-319-29659-3_2.
    • (2016) Recommender Systems: The Textbook , pp. 29-70)
    • Aggarwal, C.C.1
  • 7
    • 84874261331 scopus 로고    scopus 로고
    • Latent factor models with additive and hierarchically-smoothed user preferences
    • Ahmed, A., Kanagal, B., Pandey, S., Josifovski, V., Pueyo, L., Yuan, J., Latent factor models with additive and hierarchically-smoothed user preferences. 2013, 385–394, 10.1145/2433396.2433445.
    • (2013) , pp. 385-394
    • Ahmed, A.1    Kanagal, B.2    Pandey, S.3    Josifovski, V.4    Pueyo, L.5    Yuan, J.6
  • 8
    • 84962555662 scopus 로고    scopus 로고
    • Cloud readiness assessment framework and recommendation system
    • Alemeye, F., Getahun, F., Cloud readiness assessment framework and recommendation system. 2015-November, 2015, 10.1109/AFRCON.2015.7331995.
    • (2015) , vol.2015-November
    • Alemeye, F.1    Getahun, F.2
  • 9
    • 84956726739 scopus 로고    scopus 로고
    • Recommender systems in industry: A netflix case study
    • Springer US
    • Amatriain, X., Basilico, J., Recommender systems in industry: A netflix case study. 2015, Springer US, 10.1007/978-1-4899-7637-11.
    • (2015)
    • Amatriain, X.1    Basilico, J.2
  • 10
    • 84973869966 scopus 로고    scopus 로고
    • Svm-based association rules for knowledge discovery and classification
    • Anaissi, A., Goyal, M., Svm-based association rules for knowledge discovery and classification. 2015, 10.1109/APWCCSE.2015.7476236.
    • (2015)
    • Anaissi, A.1    Goyal, M.2
  • 11
    • 84988234126 scopus 로고    scopus 로고
    • Feature based link prediction
    • Aouay, S., Jamoussi, S., Gargouri, F., Feature based link prediction. 2014, 2014, 523–527, 10.1109/AICCSA.2014.7073243.
    • (2014) , vol.2014 , pp. 523-527
    • Aouay, S.1    Jamoussi, S.2    Gargouri, F.3
  • 12
    • 77956546818 scopus 로고    scopus 로고
    • The role of machine learning in business optimization
    • Apte, C., The role of machine learning in business optimization. 2010, 1–2.
    • (2010) , pp. 1-2
    • Apte, C.1
  • 13
    • 84937391610 scopus 로고    scopus 로고
    • Performance and quality assessment of similarity measures in collaborative filtering using mahout
    • Bagchi, S., Performance and quality assessment of similarity measures in collaborative filtering using mahout. 50, 2015, 229–234, 10.1016/j.procs.2015.04.055.
    • (2015) , vol.50 , pp. 229-234
    • Bagchi, S.1
  • 14
    • 84923233633 scopus 로고    scopus 로고
    • A scalable machine learning online service for big data real-time analysis
    • Baldominos, A., Albacete, E., Saez, Y., Isasi, P., A scalable machine learning online service for big data real-time analysis. 2015, 10.1109/CIBD.2014.7011537.
    • (2015)
    • Baldominos, A.1    Albacete, E.2    Saez, Y.3    Isasi, P.4
  • 15
    • 84871965040 scopus 로고    scopus 로고
    • Experiments on synopsis-based tv program recommendation
    • Banerjee, S., Bhowmick, P., Mukherjee, D., Misra, P., Experiments on synopsis-based tv program recommendation. 2012, 258–263.
    • (2012) , pp. 258-263
    • Banerjee, S.1    Bhowmick, P.2    Mukherjee, D.3    Misra, P.4
  • 17
    • 84911950084 scopus 로고    scopus 로고
    • Recommender systems based on quantitative implicit customer feedback
    • Bauer, J., Nanopoulos, A., Recommender systems based on quantitative implicit customer feedback. Decision Support Systems 68 (2014), 77–88, 10.1016/j.dss.2014.09.005.
    • (2014) Decision Support Systems , vol.68 , pp. 77-88
    • Bauer, J.1    Nanopoulos, A.2
  • 18
    • 84890204210 scopus 로고    scopus 로고
    • Discerning relevant model features in a content-based collaborative recommender system
    • Bellogín, A., Cantador, I., Castells, P., Ortigosa, A., Discerning relevant model features in a content-based collaborative recommender system. 2011, 10.1007/978-3-642-14125-6_20.
    • (2011)
    • Bellogín, A.1    Cantador, I.2    Castells, P.3    Ortigosa, A.4
  • 19
    • 80051647410 scopus 로고    scopus 로고
    • Automatic tagging of audio: The state-of-the-art
    • Bertin-Mahieux, T., Eck, D., Mandel, M., Automatic tagging of audio: The state-of-the-art. 2010, 10.4018/978-1-61520-919-4.ch014.
    • (2010)
    • Bertin-Mahieux, T.1    Eck, D.2    Mandel, M.3
  • 20
    • 84857285402 scopus 로고    scopus 로고
    • Context-aware movie recommendation based on signal processing and machine learning
    • Biancalana, C., Gasparetti, F., Micarelli, A., Miola, A., Sansonetti, G., Context-aware movie recommendation based on signal processing and machine learning. 2011, 5–10, 10.1145/2096112.2096114.
    • (2011) , pp. 5-10
    • Biancalana, C.1    Gasparetti, F.2    Micarelli, A.3    Miola, A.4    Sansonetti, G.5
  • 21
    • 78149270096 scopus 로고    scopus 로고
    • Towards tv recommender system: Experiments with user modeling
    • Bjelica, M., Towards tv recommender system: Experiments with user modeling. IEEE Transactions on Consumer Electronics 56:3 (2010), 1763–1769, 10.1109/TCE.2010.5606323.
    • (2010) IEEE Transactions on Consumer Electronics , vol.56 , Issue.3 , pp. 1763-1769
    • Bjelica, M.1
  • 24
    • 84918550184 scopus 로고    scopus 로고
    • (Partial) user preference similarity as classification-based model similarity
    • Bouza, A., Bernstein, A., (Partial) user preference similarity as classification-based model similarity. Semantic Web 5:1 (2014), 47–64, 10.3233/SW-130099.
    • (2014) Semantic Web , vol.5 , Issue.1 , pp. 47-64
    • Bouza, A.1    Bernstein, A.2
  • 25
    • 84923791751 scopus 로고    scopus 로고
    • Transforming collaborative filtering into supervised learning
    • Braida, F., Mello, C., Pasinato, M., Zimbrão, G., Transforming collaborative filtering into supervised learning. Expert Systems with Applications 42:10 (2015), 4733–4742, 10.1016/j.eswa.2015.01.023.
    • (2015) Expert Systems with Applications , vol.42 , Issue.10 , pp. 4733-4742
    • Braida, F.1    Mello, C.2    Pasinato, M.3    Zimbrão, G.4
  • 27
    • 84979715971 scopus 로고    scopus 로고
    • Specificsearch: Un outil de recommandation automatique pour la veille d'information sur le web
    • Brouard, C., Pomot, C., Specificsearch: Un outil de recommandation automatique pour la veille d'information sur le web. 2016, 101–116.
    • (2016) , pp. 101-116
    • Brouard, C.1    Pomot, C.2
  • 28
    • 84898382903 scopus 로고    scopus 로고
    • Hybrid neural architecture for intelligent recommender system classification unit design
    • Buabin, E., Hybrid neural architecture for intelligent recommender system classification unit design. 2012, 10.4018/978-1-4666-2542-6.ch010.
    • (2012)
    • Buabin, E.1
  • 29
    • 84978141329 scopus 로고    scopus 로고
    • Predicting user behavior in electronic markets based on personality-mining in large online social networks: A personality-based product recommender framework
    • Buettner, R., Predicting user behavior in electronic markets based on personality-mining in large online social networks: A personality-based product recommender framework. Electronic Markets, 2016, 1–19, 10.1007/s12525-016-0228-z.
    • (2016) Electronic Markets , pp. 1-19
    • Buettner, R.1
  • 30
    • 22244492989 scopus 로고    scopus 로고
    • Dustbot: Bringing a vacuum-cleaner agent to life
    • Burhans, D., Kandefer, M., Dustbot: Bringing a vacuum-cleaner agent to life. 1, 2004, 82–84.
    • (2004) , vol.1 , pp. 82-84
    • Burhans, D.1    Kandefer, M.2
  • 31
    • 79951766902 scopus 로고    scopus 로고
    • Learning collaborative filtering and its application to people to people recommendation in social networks
    • Cai, X., Bain, M., Krzywicki, A., Wobcke, W., Kim, Y., Compton, P., Mahidadia, A., Learning collaborative filtering and its application to people to people recommendation in social networks. 2010, 743–748, 10.1109/ICDM.2010.159.
    • (2010) , pp. 743-748
    • Cai, X.1    Bain, M.2    Krzywicki, A.3    Wobcke, W.4    Kim, Y.5    Compton, P.6    Mahidadia, A.7
  • 34
    • 84962109478 scopus 로고    scopus 로고
    • Auto-scoring of personalised news in the real-time web: Challenges, overview and evaluation of the state-of-the-art solutions
    • Carbone, P., Vlassov, V., Auto-scoring of personalised news in the real-time web: Challenges, overview and evaluation of the state-of-the-art solutions. 2015, 169–180, 10.1109/ICCAC.2015.9.
    • (2015) , pp. 169-180
    • Carbone, P.1    Vlassov, V.2
  • 35
    • 73549101091 scopus 로고    scopus 로고
    • Enhancing stakeholder profiles to improve recommendations in online requirements elicitation
    • Castro-Herrera, C., Cleland-Huang, J., Mobasher, B., Enhancing stakeholder profiles to improve recommendations in online requirements elicitation. 2009, 37–46, 10.1109/RE.2009.20.
    • (2009) , pp. 37-46
    • Castro-Herrera, C.1    Cleland-Huang, J.2    Mobasher, B.3
  • 36
    • 84978253994 scopus 로고    scopus 로고
    • Unsupervised learning algorithms
    • Celebi, M., Aydin, K., Unsupervised learning algorithms. 2016, 10.1007/978-3-319-24211-8.
    • (2016)
    • Celebi, M.1    Aydin, K.2
  • 37
    • 33749252873 scopus 로고    scopus 로고
    • Semi-Supervised learning
    • 1st The MIT Press
    • Chapelle, O., Schölkopf, B., Zien, A., Semi-Supervised learning. 1st, 2006, The MIT Press.
    • (2006)
    • Chapelle, O.1    Schölkopf, B.2    Zien, A.3
  • 38
    • 36549076978 scopus 로고    scopus 로고
    • Developing recommender systems with the consideration of product profitability for sellers
    • Chen, L.-S., Hsu, F.-H., Chen, M.-C., Hsu, Y.-C., Developing recommender systems with the consideration of product profitability for sellers. Information Sciences 178:4 (2008), 1032–1048, 10.1016/j.ins.2007.09.027.
    • (2008) Information Sciences , vol.178 , Issue.4 , pp. 1032-1048
    • Chen, L.-S.1    Hsu, F.-H.2    Chen, M.-C.3    Hsu, Y.-C.4
  • 40
    • 85038928531 scopus 로고    scopus 로고
    • Context and intention-awareness in pois recommender systems.(vol. 889).
    • Costa, H., Furtado, B., Pires, D., Macedo, L., & Cardoso, A. (2012). Context and intention-awareness in pois recommender systems.(vol. 889).
    • (2012)
    • Costa, H.1    Furtado, B.2    Pires, D.3    Macedo, L.4    Cardoso, A.5
  • 43
    • 84924810192 scopus 로고    scopus 로고
    • Global optimization for advertisement selection in sponsored search
    • Cui, Q., Bai, F.-S., Gao, B., Liu, T.-Y., Global optimization for advertisement selection in sponsored search. Journal of Computer Science and Technology 30:2 (2015), 295–310, 10.1007/s11390-015-1523-4.
    • (2015) Journal of Computer Science and Technology , vol.30 , Issue.2 , pp. 295-310
    • Cui, Q.1    Bai, F.-S.2    Gao, B.3    Liu, T.-Y.4
  • 44
    • 84884253807 scopus 로고    scopus 로고
    • End-user feature labeling: Supervised and semi-supervised approaches based on locally-weighted logistic regression
    • Das, S., Moore, T., Wong, W.-K., Stumpf, S., Oberst, I., McIntosh, K., Burnett, M., End-user feature labeling: Supervised and semi-supervised approaches based on locally-weighted logistic regression. Artificial Intelligence 204 (2013), 56–74, 10.1016/j.artint.2013.08.003.
    • (2013) Artificial Intelligence , vol.204 , pp. 56-74
    • Das, S.1    Moore, T.2    Wong, W.-K.3    Stumpf, S.4    Oberst, I.5    McIntosh, K.6    Burnett, M.7
  • 45
    • 84975873980 scopus 로고    scopus 로고
    • A meta-learning framework for algorithm recommendation in software fault prediction
    • Das Dôres, S., Alves, L., Ruiz, D., Barros, R., A meta-learning framework for algorithm recommendation in software fault prediction. 04-08-April-2016, 2016, 1486–1491, 10.1145/2851613.2851788.
    • (2016) , vol.04-08-April-2016 , pp. 1486-1491
    • Das Dôres, S.1    Alves, L.2    Ruiz, D.3    Barros, R.4
  • 46
    • 63449126689 scopus 로고    scopus 로고
    • Integrating tags in a semantic content-based recommender
    • De Gemmis, M., Lops, P., Semeraro, G., Basile, P., Integrating tags in a semantic content-based recommender. 2008, 163–170, 10.1145/1454008.1454036.
    • (2008) , pp. 163-170
    • De Gemmis, M.1    Lops, P.2    Semeraro, G.3    Basile, P.4
  • 47
    • 37549003336 scopus 로고    scopus 로고
    • Mapreduce: Simplified data processing on large clusters
    • Dean, J., Ghemawat, S., Mapreduce: Simplified data processing on large clusters. Communications of the ACM 51:1 (2008), 107–113, 10.1145/1327452.1327492.
    • (2008) Communications of the ACM , vol.51 , Issue.1 , pp. 107-113
    • Dean, J.1    Ghemawat, S.2
  • 48
    • 34249308531 scopus 로고    scopus 로고
    • A content-collaborative recommender that exploits wordnet-based user profiles for neighborhood formation
    • Degemmis, M., Lops, P., Semeraro, G., A content-collaborative recommender that exploits wordnet-based user profiles for neighborhood formation. User Modeling and User-Adapted Interaction 17:3 (2007), 217–255, 10.1007/s11257-006-9023-4.
    • (2007) User Modeling and User-Adapted Interaction , vol.17 , Issue.3 , pp. 217-255
    • Degemmis, M.1    Lops, P.2    Semeraro, G.3
  • 49
  • 50
    • 84867863242 scopus 로고    scopus 로고
    • Smoothing approach to alleviate the meager rating problem in collaborative recommender systems
    • Devi, M., Venkatesh, P., Smoothing approach to alleviate the meager rating problem in collaborative recommender systems. Future Generation Computer Systems 29:1 (2013), 262–270, 10.1016/j.future.2011.05.011.
    • (2013) Future Generation Computer Systems , vol.29 , Issue.1 , pp. 262-270
    • Devi, M.1    Venkatesh, P.2
  • 51
    • 84893216533 scopus 로고    scopus 로고
    • Toward the next generation of recruitment tools: An online social network-based job recommender system
    • Diaby, M., Viennet, E., Launay, T., Toward the next generation of recruitment tools: An online social network-based job recommender system. 2013, 821–828, 10.1145/2492517.2500266.
    • (2013) , pp. 821-828
    • Diaby, M.1    Viennet, E.2    Launay, T.3
  • 52
    • 84947235091 scopus 로고    scopus 로고
    • Exploration of methodologies to improve job recommender systems on social networks
    • Diaby, M., Viennet, E., Launay, T., Exploration of methodologies to improve job recommender systems on social networks. Social Network Analysis and Mining 4:1 (2014), 1–17, 10.1007/s13278-014-0227-z.
    • (2014) Social Network Analysis and Mining , vol.4 , Issue.1 , pp. 1-17
    • Diaby, M.1    Viennet, E.2    Launay, T.3
  • 53
    • 79951674213 scopus 로고    scopus 로고
    • Client-server multitask learning from distributed datasets
    • Dinuzzo, F., Pillonetto, G., De Nicolao, G., Client-server multitask learning from distributed datasets. IEEE Transactions on Neural Networks 22:2 (2011), 290–303, 10.1109/TNN.2010.2095882.
    • (2011) IEEE Transactions on Neural Networks , vol.22 , Issue.2 , pp. 290-303
    • Dinuzzo, F.1    Pillonetto, G.2    De Nicolao, G.3
  • 54
    • 84976513628 scopus 로고    scopus 로고
    • A survey of active learning in collaborative filtering recommender systems
    • Elahi, M., Ricci, F., Rubens, N., A survey of active learning in collaborative filtering recommender systems. Computer Science Review 20 (2016), 29–50, 10.1016/j.cosrev.2016.05.002.
    • (2016) Computer Science Review , vol.20 , pp. 29-50
    • Elahi, M.1    Ricci, F.2    Rubens, N.3
  • 56
    • 78649234679 scopus 로고    scopus 로고
    • Learning to predict ad clicks based on boosted collaborative filtering
    • Fan, T.-K., Chang, C.-H., Learning to predict ad clicks based on boosted collaborative filtering. 2010, 209–216, 10.1109/SocialCom.2010.37.
    • (2010) , pp. 209-216
    • Fan, T.-K.1    Chang, C.-H.2
  • 57
    • 84953835015 scopus 로고    scopus 로고
    • A text clustering approach of chinese news based on neural network language model
    • Fan, Z., Chen, S., Zha, L., Yang, J., A text clustering approach of chinese news based on neural network language model. International Journal of Parallel Programming 44:1 (2016), 198–206, 10.1007/s10766-014-0329-2.
    • (2016) International Journal of Parallel Programming , vol.44 , Issue.1 , pp. 198-206
    • Fan, Z.1    Chen, S.2    Zha, L.3    Yang, J.4
  • 58
    • 84871531231 scopus 로고    scopus 로고
    • Statistical significance of the netflix challenge
    • Feuerverger, A., He, Y., Khatri, S., Statistical significance of the netflix challenge. Statistical Science 27:2 (2012), 202–231, 10.1214/11-STS368.
    • (2012) Statistical Science , vol.27 , Issue.2 , pp. 202-231
    • Feuerverger, A.1    He, Y.2    Khatri, S.3
  • 59
    • 71749090581 scopus 로고    scopus 로고
    • Effective page recommendation algorithms based on distributed learning automata and weighted association rules
    • Forsati, R., Meybodi, M., Effective page recommendation algorithms based on distributed learning automata and weighted association rules. Expert Systems with Applications 37:2 (2010), 1316–1330, 10.1016/j.eswa.2009.06.010.
    • (2010) Expert Systems with Applications , vol.37 , Issue.2 , pp. 1316-1330
    • Forsati, R.1    Meybodi, M.2
  • 60
    • 72349087356 scopus 로고    scopus 로고
    • Effective page recommendation algorithms based on distributed learning automata
    • Forsati, R., Rahbar, A., Mahdavi, M., Effective page recommendation algorithms based on distributed learning automata. 2009, 41–46, 10.1109/ICCGI.2009.14.
    • (2009) , pp. 41-46
    • Forsati, R.1    Rahbar, A.2    Mahdavi, M.3
  • 62
    • 80455140216 scopus 로고    scopus 로고
    • Rf-rec: Fast and accurate computation of recommendations based on rating frequencies
    • Gedikli, F., Bağdat, F., Ge, M., Jannach, D., Rf-rec: Fast and accurate computation of recommendations based on rating frequencies. 2011, 50–57, 10.1109/CEC.2011.24.
    • (2011) , pp. 50-57
    • Gedikli, F.1    Bağdat, F.2    Ge, M.3    Jannach, D.4
  • 64
    • 84973866015 scopus 로고    scopus 로고
    • Learning image and user features for recommendation in social networks
    • Geng, X., Zhang, H., Bian, J., Chua, T.-S., Learning image and user features for recommendation in social networks. 11-18-December-2015, 2016, 4274–4282, 10.1109/ICCV.2015.486.
    • (2016) , vol.11-18-December-2015 , pp. 4274-4282
    • Geng, X.1    Zhang, H.2    Bian, J.3    Chua, T.-S.4
  • 65
    • 84921536598 scopus 로고    scopus 로고
    • Enhancing memory-based collaborative filtering for group recommender systems
    • Ghazarian, S., Nematbakhsh, M., Enhancing memory-based collaborative filtering for group recommender systems. Expert Systems with Applications 42:7 (2015), 3801–3812, 10.1016/j.eswa.2014.11.042.
    • (2015) Expert Systems with Applications , vol.42 , Issue.7 , pp. 3801-3812
    • Ghazarian, S.1    Nematbakhsh, M.2
  • 66
    • 84976668719 scopus 로고
    • Using collaborative filtering to weave an information tapestry
    • Goldberg, D., Nichols, D., Oki, B., Terry, D., Using collaborative filtering to weave an information tapestry. Communications of the ACM 35:12 (1992), 61–70, 10.1145/138859.138867.
    • (1992) Communications of the ACM , vol.35 , Issue.12 , pp. 61-70
    • Goldberg, D.1    Nichols, D.2    Oki, B.3    Terry, D.4
  • 67
    • 84956798053 scopus 로고    scopus 로고
    • Evaluating recommender systems
    • Springer US
    • Gunawardana, A., Shani, G., Evaluating recommender systems. 2015, Springer US, 10.1007/978-1-4899-7637-6_8.
    • (2015)
    • Gunawardana, A.1    Shani, G.2
  • 68
    • 84886393561 scopus 로고    scopus 로고
    • Automatic query reformulations for text retrieval in software engineering
    • Haiduc, S., Bavota, G., Marcus, A., Oliveto, R., De Lucia, A., Menzies, T., Automatic query reformulations for text retrieval in software engineering. 2013, 842–851, 10.1109/ICSE.2013.6606630.
    • (2013) , pp. 842-851
    • Haiduc, S.1    Bavota, G.2    Marcus, A.3    Oliveto, R.4    De Lucia, A.5    Menzies, T.6
  • 69
    • 84949924304 scopus 로고    scopus 로고
    • An entertainment recommendation system using the dynamics of user behavior over time
    • Halder, S., Seddiqui, M., Lee, Y.-K., An entertainment recommendation system using the dynamics of user behavior over time. 2014, 41–46, 10.1109/ICCITech.2014.7073094.
    • (2014) , pp. 41-46
    • Halder, S.1    Seddiqui, M.2    Lee, Y.-K.3
  • 70
    • 79952381048 scopus 로고    scopus 로고
    • Self-optimizing a clustering-based tag recommender for social bookmarking systems
    • Hassan, M., Karim, A., Javed, F., Arshad, N., Self-optimizing a clustering-based tag recommender for social bookmarking systems. 2010, 601–606, 10.1109/ICMLA.2010.93.
    • (2010) , pp. 601-606
    • Hassan, M.1    Karim, A.2    Javed, F.3    Arshad, N.4
  • 71
    • 1542377533 scopus 로고    scopus 로고
    • Collaborative filtering via gaussian probabilistic latent semantic analysis
    • Hofmann, T., Collaborative filtering via gaussian probabilistic latent semantic analysis. SIGIR Forum (ACM Special Interest Group on Information Retrieval)(SPEC. ISS.), 2003, 259–266.
    • (2003) SIGIR Forum (ACM Special Interest Group on Information Retrieval) , Issue.SPEC. ISS. , pp. 259-266
    • Hofmann, T.1
  • 72
    • 3042742744 scopus 로고    scopus 로고
    • Latent semantic models for collaborative filtering
    • Hofmann, T., Latent semantic models for collaborative filtering. ACM Transactions on Information Systems 22:1 (2004), 89–115, 10.1145/963770.963774.
    • (2004) ACM Transactions on Information Systems , vol.22 , Issue.1 , pp. 89-115
    • Hofmann, T.1
  • 74
    • 84964937694 scopus 로고    scopus 로고
    • A novel ontology and machine learning inspired hybrid cardiovascular decision support framework
    • Hussain, A., Farooq, K., Luo, B., Slack, W., A novel ontology and machine learning inspired hybrid cardiovascular decision support framework. 2015, 824–832, 10.1109/SSCI.2015.122.
    • (2015) , pp. 824-832
    • Hussain, A.1    Farooq, K.2    Luo, B.3    Slack, W.4
  • 75
    • 9144273830 scopus 로고    scopus 로고
    • Software engineering: The trend
    • Isazadeh, A., Software engineering: The trend. Informatica (Ljubljana) 28:2 (2004), 129–137.
    • (2004) Informatica (Ljubljana) , vol.28 , Issue.2 , pp. 129-137
    • Isazadeh, A.1
  • 76
    • 84924363314 scopus 로고    scopus 로고
    • Personalized recommender system on whom to follow in twitter
    • Islam, M., Ding, C., Chi, C.-H., Personalized recommender system on whom to follow in twitter. 2015, 326–333, 10.1109/BDCloud.2014.84.
    • (2015) , pp. 326-333
    • Islam, M.1    Ding, C.2    Chi, C.-H.3
  • 77
    • 84893405732 scopus 로고    scopus 로고
    • Data clustering: A review
    • Jain, A., Murty, M., Flynn, P., Data clustering: A review. ACM Computing Surveys 31:3 (1999), 264–323, 10.1145/331499.331504.
    • (1999) ACM Computing Surveys , vol.31 , Issue.3 , pp. 264-323
    • Jain, A.1    Murty, M.2    Flynn, P.3
  • 80
    • 84924514239 scopus 로고    scopus 로고
    • Evaluating learning algorithms: A classification perspective
    • Cambridge University Press
    • Japkowicz, N., Shah, M., Evaluating learning algorithms: A classification perspective. 2011, Cambridge University Press, 10.1017/CBO9780511921803.
    • (2011)
    • Japkowicz, N.1    Shah, M.2
  • 81
    • 24744455895 scopus 로고    scopus 로고
    • A web recommendation system based on maximum entropy
    • Jin, X., Mobasher, B., Zhou, Y., A web recommendation system based on maximum entropy. 1, 2005, 213–218.
    • (2005) , vol.1 , pp. 213-218
    • Jin, X.1    Mobasher, B.2    Zhou, Y.3
  • 82
    • 25144497461 scopus 로고    scopus 로고
    • Web usage mining using support vector machine
    • Jun, S.-H., Web usage mining using support vector machine. 3512, 2005, 349–356.
    • (2005) , vol.3512 , pp. 349-356
    • Jun, S.-H.1
  • 83
    • 11144337228 scopus 로고    scopus 로고
    • User preference mining through hybrid collaborative filtering and content-based filtering in recommendation system
    • Jung, K.-Y., Lee, J.-H., User preference mining through hybrid collaborative filtering and content-based filtering in recommendation system. IEICE Transactions on Information and Systems E87-D:12 (2004), 2781–2790.
    • (2004) IEICE Transactions on Information and Systems , vol.E87-D , Issue.12 , pp. 2781-2790
    • Jung, K.-Y.1    Lee, J.-H.2
  • 84
    • 84874662802 scopus 로고    scopus 로고
    • A multi-stage learning framework for intelligent system
    • Kao, C.-Y., Fahn, C.-S., A multi-stage learning framework for intelligent system. Expert Systems with Applications 40:9 (2013), 3378–3388, 10.1016/j.eswa.2012.12.046.
    • (2013) Expert Systems with Applications , vol.40 , Issue.9 , pp. 3378-3388
    • Kao, C.-Y.1    Fahn, C.-S.2
  • 85
    • 84960896408 scopus 로고    scopus 로고
    • Feature enhanced time-aware recommender system
    • Karahodza, B., Donko, D., Feature enhanced time-aware recommender system. 2015, 10.1109/ICAT.2015.7340527.
    • (2015)
    • Karahodza, B.1    Donko, D.2
  • 86
    • 38149073094 scopus 로고    scopus 로고
    • Application of machine learning methods to route planning and navigation for disabled people
    • Karimanzira, D., Otto, P., Wernstedt, J., Application of machine learning methods to route planning and navigation for disabled people. 2006, 366–371.
    • (2006) , pp. 366-371
    • Karimanzira, D.1    Otto, P.2    Wernstedt, J.3
  • 87
    • 0035747556 scopus 로고    scopus 로고
    • Evaluation of item-based top-n recommendation algorithms
    • Karypis, G., Evaluation of item-based top-n recommendation algorithms. 2001, 247–254.
    • (2001) , pp. 247-254
    • Karypis, G.1
  • 88
    • 27644567603 scopus 로고    scopus 로고
    • Procedures for Performing Systematic Reviews
    • Keele University, Department of Computer Science, and Empirical Software Engineering National ICT Australia Ltd
    • Kitchenham, B., Procedures for Performing Systematic Reviews. Technical Report, 2004, Keele University, Department of Computer Science, and Empirical Software Engineering National ICT Australia Ltd.
    • (2004) Technical Report
    • Kitchenham, B.1
  • 90
    • 0034922742 scopus 로고    scopus 로고
    • Machine learning for medical diagnosis: History, state of the art and perspective
    • Kononenko, I., Machine learning for medical diagnosis: History, state of the art and perspective. Artificial Intelligence in Medicine 23:1 (2001), 89–109, 10.1016/S0933-3657(01)00077-X.
    • (2001) Artificial Intelligence in Medicine , vol.23 , Issue.1 , pp. 89-109
    • Kononenko, I.1
  • 91
    • 84956762490 scopus 로고    scopus 로고
    • Advances in collaborative filtering
    • Springer US
    • Koren, Y., Bell, R., Advances in collaborative filtering. 2015, Springer US, 10.1007/978-1-4899-7637-6_3.
    • (2015)
    • Koren, Y.1    Bell, R.2
  • 92
    • 36749047332 scopus 로고    scopus 로고
    • Supervised machine learning: A review of classification techniques
    • Kotsiantis, S., Supervised machine learning: A review of classification techniques. Informatica (Ljubljana) 31:3 (2007), 249–268.
    • (2007) Informatica (Ljubljana) , vol.31 , Issue.3 , pp. 249-268
    • Kotsiantis, S.1
  • 95
    • 84898317952 scopus 로고    scopus 로고
    • Machine learning algorithms for problem solving in computational applications: Intelligent techniques
    • IGI Global
    • Kulkarni, S., Machine learning algorithms for problem solving in computational applications: Intelligent techniques. 2012, IGI Global, 10.4018/978-1-4666-1833-6.
    • (2012)
    • Kulkarni, S.1
  • 96
    • 84887248381 scopus 로고    scopus 로고
    • Context extraction from reviews for context aware recommendation using text classification techniques
    • Lahlou, F., Benbrahimand, H., Mountassir, A., Kassou, I., Context extraction from reviews for context aware recommendation using text classification techniques. 2013, 10.1109/AICCSA.2013.6616512.
    • (2013)
    • Lahlou, F.1    Benbrahimand, H.2    Mountassir, A.3    Kassou, I.4
  • 97
    • 84883074857 scopus 로고    scopus 로고
    • A text classification based method for context extraction from online reviews
    • Lahlou, F., Mountassir, A., Benbrahim, H., Kassou, I., A text classification based method for context extraction from online reviews. 2013, 10.1109/SITA.2013.6560804.
    • (2013)
    • Lahlou, F.1    Mountassir, A.2    Benbrahim, H.3    Kassou, I.4
  • 98
    • 84862783923 scopus 로고    scopus 로고
    • Easy-to-explain feature synthesis approach for recommending entertainment video
    • Lee, T.-J., Tseng, S.-S., Easy-to-explain feature synthesis approach for recommending entertainment video. Neurocomputing 92 (2012), 61–68, 10.1016/j.neucom.2011.09.034.
    • (2012) Neurocomputing , vol.92 , pp. 61-68
    • Lee, T.-J.1    Tseng, S.-S.2
  • 99
    • 33645595508 scopus 로고    scopus 로고
    • Customising wap-based information services on mobile networks
    • Lee, W.-P., Lu, C.-C., Customising wap-based information services on mobile networks. Personal and Ubiquitous Computing 7:6 (2003), 321–330, 10.1007/s00779-003-0247-6.
    • (2003) Personal and Ubiquitous Computing , vol.7 , Issue.6 , pp. 321-330
    • Lee, W.-P.1    Lu, C.-C.2
  • 100
    • 84883365746 scopus 로고    scopus 로고
    • Evaluating software quality in use using user reviews mining
    • Leopairote, W., Surarerks, A., Prompoon, N., Evaluating software quality in use using user reviews mining. 2013, 257–262, 10.1109/JCSSE.2013.6567355.
    • (2013) , pp. 257-262
    • Leopairote, W.1    Surarerks, A.2    Prompoon, N.3
  • 101
    • 84952760942 scopus 로고    scopus 로고
    • Mining of massive datasets: Second edition
    • Leskovec, J., Rajaraman, A., Ullman, J., Mining of massive datasets: Second edition. 2014, 10.1017/CBO9781139924801.
    • (2014)
    • Leskovec, J.1    Rajaraman, A.2    Ullman, J.3
  • 103
    • 57749089960 scopus 로고    scopus 로고
    • Research of information recommendation system based on reading behavior
    • Li, Q.-C., Dong, Z.-H., Li, T., Research of information recommendation system based on reading behavior. 3, 2008, 1626–1631, 10.1109/ICMLC.2008.4620666.
    • (2008) , vol.3 , pp. 1626-1631
    • Li, Q.-C.1    Dong, Z.-H.2    Li, T.3
  • 104
    • 84871720096 scopus 로고    scopus 로고
    • Recommendation as link prediction in bipartite graphs: A graph kernel-based machine learning approach
    • Li, X., Chen, H., Recommendation as link prediction in bipartite graphs: A graph kernel-based machine learning approach. Decision Support Systems 54:2 (2013), 880–890, 10.1016/j.dss.2012.09.019.
    • (2013) Decision Support Systems , vol.54 , Issue.2 , pp. 880-890
    • Li, X.1    Chen, H.2
  • 105
    • 84926277696 scopus 로고    scopus 로고
    • A multi-theoretical kernel-based approach to social network-based recommendation
    • Li, X., Wang, M., Liang, T.-P., A multi-theoretical kernel-based approach to social network-based recommendation. Decision Support Systems 65:C (2014), 95–104, 10.1016/j.dss.2014.05.006.
    • (2014) Decision Support Systems , vol.65 , Issue.100 , pp. 95-104
    • Li, X.1    Wang, M.2    Liang, T.-P.3
  • 107
    • 77951143278 scopus 로고    scopus 로고
    • Personalized news recommendation based on click behavior
    • Liu, J., Dolan, P., Pedersen, E., Personalized news recommendation based on click behavior. 2010, 31–40, 10.1145/1719970.1719976.
    • (2010) , pp. 31-40
    • Liu, J.1    Dolan, P.2    Pedersen, E.3
  • 108
    • 84907551143 scopus 로고    scopus 로고
    • Combining user-based and item-based models for collaborative filtering using stacked regression
    • Liu, Q., Xiong, Y., Huang, W., Combining user-based and item-based models for collaborative filtering using stacked regression. Chinese Journal of Electronics 23:4 (2014), 712–717.
    • (2014) Chinese Journal of Electronics , vol.23 , Issue.4 , pp. 712-717
    • Liu, Q.1    Xiong, Y.2    Huang, W.3
  • 109
    • 84948463529 scopus 로고    scopus 로고
    • Catlinks - a category clustering algorithm based on multi-class regression
    • Liu, R., Ding, L., Xie, L., Catlinks - a category clustering algorithm based on multi-class regression. 2014, 323–326, 10.1109/CCIS.2014.7175752.
    • (2014) , pp. 323-326
    • Liu, R.1    Ding, L.2    Xie, L.3
  • 110
    • 80155198210 scopus 로고    scopus 로고
    • Lawyer information integration and recommendation by multi-source information validation
    • Liu, T., Fan, B., Hu, H., Du, X.-Y., Lawyer information integration and recommendation by multi-source information validation. 4, 2011, 1909–1913, 10.1109/ICMLC.2011.6016956.
    • (2011) , vol.4 , pp. 1909-1913
    • Liu, T.1    Fan, B.2    Hu, H.3    Du, X.-Y.4
  • 111
    • 67650524457 scopus 로고    scopus 로고
    • Toward social search from explicit to implicit collaboration to predict users’ interests
    • Longo, L., Barrett, S., Dondio, P., Toward social search from explicit to implicit collaboration to predict users’ interests. 2009, 693–696.
    • (2009) , pp. 693-696
    • Longo, L.1    Barrett, S.2    Dondio, P.3
  • 112
    • 78049260087 scopus 로고    scopus 로고
    • A semantic content-based recommender system integrating folksonomies for personalized access
    • Lops, P., De Gemmis, M., Semeraro, G., Musto, C., Narducci, F., Bux, M., A semantic content-based recommender system integrating folksonomies for personalized access. Studies in Computational Intelligence 229 (2009), 27–47, 10.1007/978-3-642-02794-9_2.
    • (2009) Studies in Computational Intelligence , vol.229 , pp. 27-47
    • Lops, P.1    De Gemmis, M.2    Semeraro, G.3    Musto, C.4    Narducci, F.5    Bux, M.6
  • 113
    • 84968538265 scopus 로고    scopus 로고
    • Leveraging semantic web technologies for more relevant e-tourism behavioral retargeting
    • Lu, C., Stankovic, M., Laublet, P., Leveraging semantic web technologies for more relevant e-tourism behavioral retargeting. 2015, 1287–1292, 10.1145/2740908.2742001.
    • (2015) , pp. 1287-1292
    • Lu, C.1    Stankovic, M.2    Laublet, P.3
  • 116
    • 84881517293 scopus 로고    scopus 로고
    • Exploiting social networks for publication venue recommendations
    • Luong, H., Huynh, T., Gauch, S., Hoang, K., Exploiting social networks for publication venue recommendations. 2012, 239–245.
    • (2012) , pp. 239-245
    • Luong, H.1    Huynh, T.2    Gauch, S.3    Hoang, K.4
  • 117
    • 84855721849 scopus 로고    scopus 로고
    • Machine learning methods and their application research
    • Lv, H., Tang, H., Machine learning methods and their application research. 2011, 108–110, 10.1109/IPTC.2011.34.
    • (2011) , pp. 108-110
    • Lv, H.1    Tang, H.2
  • 118
    • 80052276586 scopus 로고    scopus 로고
    • Automatic movie ratings prediction using machine learning
    • Marović, M., Mihoković, M., Miks̆a, M., Pribil, S., Tus, A., Automatic movie ratings prediction using machine learning. 2011, 1640–1645.
    • (2011) , pp. 1640-1645
    • Marović, M.1    Mihoković, M.2    Miks̆a, M.3    Pribil, S.4    Tus, A.5
  • 119
    • 84873575554 scopus 로고    scopus 로고
    • New trends in musical genre classification using optimum-path forest
    • Marques, C., Guilherme, I., Nakamura, R., Papa, J., New trends in musical genre classification using optimum-path forest. 2011, 699–704.
    • (2011) , pp. 699-704
    • Marques, C.1    Guilherme, I.2    Nakamura, R.3    Papa, J.4
  • 120
    • 58149432713 scopus 로고
    • Two notes on machine ”learning”
    • Martens, H., Two notes on machine ”learning”. Information and Control 2:4 (1959), 364–379.
    • (1959) Information and Control , vol.2 , Issue.4 , pp. 364-379
    • Martens, H.1
  • 121
    • 8644228708 scopus 로고    scopus 로고
    • A collaborative filtering algorithm and evaluation metric that accurately model the user experience
    • McLaughlin, M., Herlocker, J., A collaborative filtering algorithm and evaluation metric that accurately model the user experience. 2004, 329–336.
    • (2004) , pp. 329-336
    • McLaughlin, M.1    Herlocker, J.2
  • 122
    • 46549099344 scopus 로고
    • Machine learning: An artificial intelligence approach
    • Michalski, R., Carbonell, J., Mitchell, T., Machine learning: An artificial intelligence approach. Artificial Intelligence 25:2 (1985), 236–238, 10.1016/0004-3702(85)90005-0.
    • (1985) Artificial Intelligence , vol.25 , Issue.2 , pp. 236-238
    • Michalski, R.1    Carbonell, J.2    Mitchell, T.3
  • 123
    • 0003418739 scopus 로고    scopus 로고
    • Machine learning: An artificial intelligence approach
    • Springer Science & Business Media
    • Michalski, R.S., Carbonell, J.G., Mitchell, T.M., Machine learning: An artificial intelligence approach. 2013, Springer Science & Business Media.
    • (2013)
    • Michalski, R.S.1    Carbonell, J.G.2    Mitchell, T.M.3
  • 125
    • 84887491127 scopus 로고    scopus 로고
    • Collaborative tag recommendation system based on logistic regression
    • Montañés, E., Quevedo, J., Díaz, I., Ranilla, J., Collaborative tag recommendation system based on logistic regression. 497, 2009, 173–188.
    • (2009) , vol.497 , pp. 173-188
    • Montañés, E.1    Quevedo, J.2    Díaz, I.3    Ranilla, J.4
  • 126
    • 84871075003 scopus 로고    scopus 로고
    • Talmud: Transfer learning for multiple domains
    • Moreno, O., Shapira, B., Rokach, L., Shani, G., Talmud: Transfer learning for multiple domains. 2012, 425–434, 10.1145/2396761.2396817.
    • (2012) , pp. 425-434
    • Moreno, O.1    Shapira, B.2    Rokach, L.3    Shani, G.4
  • 127
    • 78649307361 scopus 로고    scopus 로고
    • A two-level learning hierarchy of concept based keyword extraction for tag recommendations
    • Murfi, H., Obermayer, K., A two-level learning hierarchy of concept based keyword extraction for tag recommendations. 497, 2009, 201–214.
    • (2009) , vol.497 , pp. 201-214
    • Murfi, H.1    Obermayer, K.2
  • 130
    • 84919909115 scopus 로고    scopus 로고
    • Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques
    • Nicol, O., Mary, J., Preux, P., Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques. 2, 2014, 1390–1398.
    • (2014) , vol.2 , pp. 1390-1398
    • Nicol, O.1    Mary, J.2    Preux, P.3
  • 131
    • 84922418338 scopus 로고    scopus 로고
    • Joint schatten lp-norm robust matrix completion for missing value recovery
    • Nie, F., Wang, H., Huang, H., Ding, C., Joint schatten lp-norm robust matrix completion for missing value recovery. Knowledge and Information Systems 42:3 (2013), 525–544, 10.1007/s10115-013-0713-z.
    • (2013) Knowledge and Information Systems , vol.42 , Issue.3 , pp. 525-544
    • Nie, F.1    Wang, H.2    Huang, H.3    Ding, C.4
  • 132
    • 84956731733 scopus 로고    scopus 로고
    • A comprehensive survey of neighborhood-based recommendation methods
    • Springer US
    • Ning, X., Desrosiers, C., Karypis, G., A comprehensive survey of neighborhood-based recommendation methods. 2015, Springer US, 10.1007/978-1-4899-7637-6_2.
    • (2015)
    • Ning, X.1    Desrosiers, C.2    Karypis, G.3
  • 133
    • 32844472422 scopus 로고    scopus 로고
    • Trust in recommender systems
    • O'Donovan, J., Smyth, B., Trust in recommender systems. 2005, 167–174, 10.1145/1040830.1040870.
    • (2005) , pp. 167-174
    • O'Donovan, J.1    Smyth, B.2
  • 135
    • 84868243622 scopus 로고    scopus 로고
    • Link prediction across time via cross-temporal locality preserving projections
    • Oyama, S., Hayashi, K., Kashima, H., Link prediction across time via cross-temporal locality preserving projections. IEICE Transactions on Information and Systems E95-D:11 (2012), 2664–2673, 10.1587/transinf.E95.D.2664.
    • (2012) IEICE Transactions on Information and Systems , vol.E95-D , Issue.11 , pp. 2664-2673
    • Oyama, S.1    Hayashi, K.2    Kashima, H.3
  • 136
    • 84960900601 scopus 로고    scopus 로고
    • Automatic image tagging and recommendation via parafac2
    • Pantraki, E., Kotropoulos, C., Automatic image tagging and recommendation via parafac2. 2015-November, 2015, 10.1109/MLSP.2015.7324363.
    • (2015) , vol.2015-November
    • Pantraki, E.1    Kotropoulos, C.2
  • 137
    • 82555195639 scopus 로고    scopus 로고
    • Machine learned job recommendation
    • Paparrizos, I., Cambazoglu, B., Gionis, A., Machine learned job recommendation. 2011, 325–328, 10.1145/2043932.2043994.
    • (2011) , pp. 325-328
    • Paparrizos, I.1    Cambazoglu, B.2    Gionis, A.3
  • 138
    • 0038136319 scopus 로고
    • A generalized k-nearest neighbor rule
    • Patrick, E., Fischer III, F., A generalized k-nearest neighbor rule. Information and Control 16:2 (1970), 128–152, 10.1016/S0019-9958(70)90081-1.
    • (1970) Information and Control , vol.16 , Issue.2 , pp. 128-152
    • Patrick, E.1    Fischer III, F.2
  • 139
    • 84939496389 scopus 로고    scopus 로고
    • Dimensionality reduction for supervised learning in link prediction problems
    • Pecli, A., Giovanini, B., Pacheco, C., Moreira, C., Ferreira, F., Tosta, F., et al. Dimensionality reduction for supervised learning in link prediction problems. 1, 2015, 295–302.
    • (2015) , vol.1 , pp. 295-302
    • Pecli, A.1    Giovanini, B.2    Pacheco, C.3    Moreira, C.4    Ferreira, F.5    Tosta, F.6
  • 141
    • 0003625739 scopus 로고    scopus 로고
    • Software engineering: A Practitioner's approach
    • 8th McGrawHill Higher Education
    • Pressman, R.S., Software engineering: A Practitioner's approach. 8th, 2015, McGrawHill Higher Education.
    • (2015)
    • Pressman, R.S.1
  • 143
    • 84867377729 scopus 로고    scopus 로고
    • Multiple objective optimization in recommender systems
    • Rodriguez, M., Posse, C., Zhang, E., Multiple objective optimization in recommender systems. 2012, 11–18, 10.1145/2365952.2365961.
    • (2012) , pp. 11-18
    • Rodriguez, M.1    Posse, C.2    Zhang, E.3
  • 144
    • 0141887092 scopus 로고    scopus 로고
    • The collaborative filtering recommendation based on som cluster-indexing cbr
    • Roh, T., Oh, K., Han, I., The collaborative filtering recommendation based on som cluster-indexing cbr. Expert Systems with Applications 25:3 (2003), 413–423, 10.1016/S0957-4174(03)00067-8.
    • (2003) Expert Systems with Applications , vol.25 , Issue.3 , pp. 413-423
    • Roh, T.1    Oh, K.2    Han, I.3
  • 145
    • 84956765131 scopus 로고    scopus 로고
    • Active learning in recommender systems
    • Springer US
    • Rubens, N., Elahi, M., Sugiyama, M., Kaplan, D., Active learning in recommender systems. 2015, Springer US, 10.1007/978-1-4899-7637-6_24.
    • (2015)
    • Rubens, N.1    Elahi, M.2    Sugiyama, M.3    Kaplan, D.4
  • 147
    • 84926973806 scopus 로고    scopus 로고
    • Understanding machine learning: From theory to algorithms
    • Cambridge University Press
    • Shalev-Shwartz, S., Ben-David, S., Understanding machine learning: From theory to algorithms. 2013, Cambridge University Press, 10.1017/CBO9781107298019.
    • (2013)
    • Shalev-Shwartz, S.1    Ben-David, S.2
  • 148
    • 84880226978 scopus 로고    scopus 로고
    • Tutorial on application-oriented evaluation of recommendation systems
    • Shani, G., Gunawardana, A., Tutorial on application-oriented evaluation of recommendation systems. AI Communications 26:2 (2013), 225–236, 10.3233/AIC-130551.
    • (2013) AI Communications , vol.26 , Issue.2 , pp. 225-236
    • Shani, G.1    Gunawardana, A.2
  • 149
    • 77957838299 scopus 로고    scopus 로고
    • The hadoop distributed file system
    • Shvachko, K., Kuang, H., Radia, S., Chansler, R., The hadoop distributed file system. 2010, 10.1109/MSST.2010.5496972.
    • (2010)
    • Shvachko, K.1    Kuang, H.2    Radia, S.3    Chansler, R.4
  • 151
    • 79951867458 scopus 로고    scopus 로고
    • Automatic tag recommendation algorithms for social recommender systems
    • Song, Y., Zhang, L., Giles, C., Automatic tag recommendation algorithms for social recommender systems. ACM Transactions on the Web, 5(1), 2011, 10.1145/1921591.1921595.
    • (2011) ACM Transactions on the Web , vol.5 , Issue.1
    • Song, Y.1    Zhang, L.2    Giles, C.3
  • 152
    • 84887575890 scopus 로고    scopus 로고
    • Evaluation of recommendations: Rating-prediction and ranking
    • Steck, H., Evaluation of recommendations: Rating-prediction and ranking. 2013, 213–220, 10.1145/2507157.2507160.
    • (2013) , pp. 213-220
    • Steck, H.1
  • 153
    • 84945448162 scopus 로고    scopus 로고
    • Road-based travel recommendation using geo-tagged images
    • Sun, Y., Fan, H., Bakillah, M., Zipf, A., Road-based travel recommendation using geo-tagged images. Computers, Environment and Urban Systems 53 (2015), 110–122, 10.1016/j.compenvurbsys.2013.07.006.
    • (2015) Computers, Environment and Urban Systems , vol.53 , pp. 110-122
    • Sun, Y.1    Fan, H.2    Bakillah, M.3    Zipf, A.4
  • 154
    • 0004102479 scopus 로고    scopus 로고
    • Reinforcement learning: An introduction
    • 1st Cambridge: MIT Press
    • Sutton, R.S., Barto, A.G., Reinforcement learning: An introduction. 1st, 1998, Cambridge: MIT Press.
    • (1998)
    • Sutton, R.S.1    Barto, A.G.2
  • 156
    • 84973577856 scopus 로고    scopus 로고
    • Identification of category associations using a multilabel classifier
    • Szymański, J., Rzeniewicz, J., Identification of category associations using a multilabel classifier. Expert Systems with Applications 61 (2016), 327–342, 10.1016/j.eswa.2016.05.039.
    • (2016) Expert Systems with Applications , vol.61 , pp. 327-342
    • Szymański, J.1    Rzeniewicz, J.2
  • 157
    • 42149177829 scopus 로고    scopus 로고
    • Usage-based web recommendations: A reinforcement learning approach
    • Taghipour, N., Kardan, A., Ghidary, S., Usage-based web recommendations: A reinforcement learning approach. 2007, 113–120, 10.1145/1297231.1297250.
    • (2007) , pp. 113-120
    • Taghipour, N.1    Kardan, A.2    Ghidary, S.3
  • 158
    • 63449123891 scopus 로고    scopus 로고
    • Matrix factorization and neighbor based algorithms for the netflix prize problem
    • Takács, G., Pilászy, I., Németh, B., Tikk, D., Matrix factorization and neighbor based algorithms for the netflix prize problem. 2008, 267–274, 10.1145/1454008.1454049.
    • (2008) , pp. 267-274
    • Takács, G.1    Pilászy, I.2    Németh, B.3    Tikk, D.4
  • 160
    • 37349107072 scopus 로고    scopus 로고
    • Self-driving cars -an ai-robotics challenge
    • Thrun, S., Self-driving cars -an ai-robotics challenge. 2007, 12.
    • (2007) , pp. 12
    • Thrun, S.1
  • 161
    • 51949119257 scopus 로고    scopus 로고
    • Small codes and large image databases for recognition
    • Torralba, A., Fergus, R., Weiss, Y., Small codes and large image databases for recognition. 2008, 10.1109/CVPR.2008.4587633.
    • (2008)
    • Torralba, A.1    Fergus, R.2    Weiss, Y.3
  • 163
    • 84918500241 scopus 로고    scopus 로고
    • Book recommendation using machine learning methods based on library loan records and bibliographic information
    • Tsuji, K., Yoshikane, F., Sato, S., Itsumura, H., Book recommendation using machine learning methods based on library loan records and bibliographic information. 2014, 76–79, 10.1109/IIAI-AAI.2014.26.
    • (2014) , pp. 76-79
    • Tsuji, K.1    Yoshikane, F.2    Sato, S.3    Itsumura, H.4
  • 164
    • 84979824074 scopus 로고    scopus 로고
    • Improving scalability of personalized recommendation systems for enterprise knowledge workers
    • Verma, C., Hart, M., Bhatkar, S., Parker-Wood, A., Dey, S., Improving scalability of personalized recommendation systems for enterprise knowledge workers. IEEE Access 4 (2016), 204–215, 10.1109/ACCESS.2015.2513000.
    • (2016) IEEE Access , vol.4 , pp. 204-215
    • Verma, C.1    Hart, M.2    Bhatkar, S.3    Parker-Wood, A.4    Dey, S.5
  • 166
    • 77949716905 scopus 로고    scopus 로고
    • Discovering social network to improve recommender system for group learning support
    • Wan, X., Jamaliding, Q., Okamoto, T., Discovering social network to improve recommender system for group learning support. 2009, 10.1109/CISE.2009.5363890.
    • (2009)
    • Wan, X.1    Jamaliding, Q.2    Okamoto, T.3
  • 169
    • 85038963941 scopus 로고    scopus 로고
    • Estimating trust strength for supporting effective recommendation services
    • Wei, C.-P., Chen, H.-C., Liang, M.-K., Estimating trust strength for supporting effective recommendation services. 2011.
    • (2011)
    • Wei, C.-P.1    Chen, H.-C.2    Liang, M.-K.3
  • 171
    • 84904605769 scopus 로고    scopus 로고
    • Constructing topic models of internet of things for information processing
    • Xin, J., Cui, Z., Zhang, S., He, T., Li, C., Huang, H., Constructing topic models of internet of things for information processing. Scientific World Journal, 2014, 2014, 10.1155/2014/675234.
    • (2014) Scientific World Journal , vol.2014
    • Xin, J.1    Cui, Z.2    Zhang, S.3    He, T.4    Li, C.5    Huang, H.6
  • 172
    • 85038959571 scopus 로고    scopus 로고
    • Semi-supervised learning
    • Xu, Z., Mo, M., King, I., Semi-supervised learning. 2012.
    • (2012)
    • Xu, Z.1    Mo, M.2    King, I.3
  • 173
    • 84908469360 scopus 로고    scopus 로고
    • Extension of similarity measures in vsm: From orthogonal coordinate system to affine coordinate system
    • Xuan, J., Lu, J., Zhang, G., Luo, X., Extension of similarity measures in vsm: From orthogonal coordinate system to affine coordinate system. 2014, 4084–4091, 10.1109/IJCNN.2014.6889693.
    • (2014) , pp. 4084-4091
    • Xuan, J.1    Lu, J.2    Zhang, G.3    Luo, X.4
  • 174
    • 84890706845 scopus 로고    scopus 로고
    • Enhancing trustworthiness evaluation in internetware with similarity and non-negative constraints
    • Yan, G., Xu, F., Yao, Y., Lu, J., Enhancing trustworthiness evaluation in internetware with similarity and non-negative constraints. 2013, 10.1145/2532443.2532459.
    • (2013)
    • Yan, G.1    Xu, F.2    Yao, Y.3    Lu, J.4
  • 175
    • 33644592172 scopus 로고    scopus 로고
    • Dynamically-optimized context in recommender systems
    • Yap, G.-E., Tan, A.-H., Pang, H.-H., Dynamically-optimized context in recommender systems. 2005, 265–272, 10.1145/1071246.1071289.
    • (2005) , pp. 265-272
    • Yap, G.-E.1    Tan, A.-H.2    Pang, H.-H.3
  • 176
    • 77952647766 scopus 로고    scopus 로고
    • Recommendation based on latent topics and social network analysis
    • Yeh, J.-H., Wu, M.-L., Recommendation based on latent topics and social network analysis. 1, 2010, 209–213, 10.1109/ICCEA.2010.48.
    • (2010) , vol.1 , pp. 209-213
    • Yeh, J.-H.1    Wu, M.-L.2
  • 177
    • 84908881365 scopus 로고    scopus 로고
    • Exploiting sentiment homophily for link prediction
    • Yuan, G., Murukannaiah, P., Zhang, Z., Singh, M., Exploiting sentiment homophily for link prediction. 2014, 17–24, 10.1145/2645710.2645734.
    • (2014) , pp. 17-24
    • Yuan, G.1    Murukannaiah, P.2    Zhang, Z.3    Singh, M.4
  • 178
    • 84937510254 scopus 로고    scopus 로고
    • Novel centroid selection approaches for kmeans-clustering based recommender systems
    • Zahra, S., Ghazanfar, M., Khalid, A., Azam, M., Naeem, U., Prugel-Bennett, A., Novel centroid selection approaches for kmeans-clustering based recommender systems. Information Sciences 320 (2015), 156–189, 10.1016/j.ins.2015.03.062.
    • (2015) Information Sciences , vol.320 , pp. 156-189
    • Zahra, S.1    Ghazanfar, M.2    Khalid, A.3    Azam, M.4    Naeem, U.5    Prugel-Bennett, A.6
  • 180
    • 84900145527 scopus 로고    scopus 로고
    • Advances in machine learning applications in software engineering
    • Zhang, D., Tsai, J., Advances in machine learning applications in software engineering. 2006, 10.4018/978-1-59140-941-1.
    • (2006)
    • Zhang, D.1    Tsai, J.2
  • 181
    • 80054089159 scopus 로고    scopus 로고
    • Helpful or unhelpful: A linear approach for ranking product reviews
    • Zhang, R., Tran, T., Helpful or unhelpful: A linear approach for ranking product reviews. Journal of Electronic Ccommerce Research 11:3 (2010), 220–230.
    • (2010) Journal of Electronic Ccommerce Research , vol.11 , Issue.3 , pp. 220-230
    • Zhang, R.1    Tran, T.2
  • 182
    • 38049003086 scopus 로고    scopus 로고
    • An online bayesian networks model for e-commercial personalized recommendation system
    • Zhang, S.-Z., Liu, L., Dong, Y.-Z., An online bayesian networks model for e-commercial personalized recommendation system. 6, 2007, 3506–3511, 10.1109/ICMLC.2007.4370754.
    • (2007) , vol.6 , pp. 3506-3511
    • Zhang, S.-Z.1    Liu, L.2    Dong, Y.-Z.3
  • 183
    • 57449113868 scopus 로고    scopus 로고
    • Real-time clothes comparison based on multi-view vision
    • Zhang, W., Begole, B., Chu, M., Liu, J., Yee, N., Real-time clothes comparison based on multi-view vision. 2008, 10.1109/ICDSC.2008.4635727.
    • (2008)
    • Zhang, W.1    Begole, B.2    Chu, M.3    Liu, J.4    Yee, N.5
  • 184
    • 38049019036 scopus 로고    scopus 로고
    • Building personalized recommendation system in e-commerce using association rule-based mining and classification
    • Zhang, X.-Z., Building personalized recommendation system in e-commerce using association rule-based mining and classification. 7, 2007, 4113–4118, 10.1109/ICMLC.2007.4370866.
    • (2007) , vol.7 , pp. 4113-4118
    • Zhang, X.-Z.1
  • 185
    • 68149103275 scopus 로고    scopus 로고
    • Applying probabilistic latent semantic analysis to multi-criteria recommender system
    • Zhang, Y., Zhuang, Y., Wu, J., Zhang, L., Applying probabilistic latent semantic analysis to multi-criteria recommender system. AI Communications 22:2 (2009), 97–107, 10.3233/AIC-2009-0446.
    • (2009) AI Communications , vol.22 , Issue.2 , pp. 97-107
    • Zhang, Y.1    Zhuang, Y.2    Wu, J.3    Zhang, L.4
  • 186
    • 84922993542 scopus 로고    scopus 로고
    • A machine learning based trust evaluation framework for online social networks
    • Zhao, K., Pan, L., A machine learning based trust evaluation framework for online social networks. 2015, 69–74, 10.1109/TrustCom.2014.13.
    • (2015) , pp. 69-74
    • Zhao, K.1    Pan, L.2
  • 187
    • 84962885906 scopus 로고    scopus 로고
    • E-commerce recommendation with personalized promotion
    • Zhao, Q., Zhang, Y., Friedman, D., Tan, F., E-commerce recommendation with personalized promotion. 2015, 219–225, 10.1145/2792838.2800178.
    • (2015) , pp. 219-225
    • Zhao, Q.1    Zhang, Y.2    Friedman, D.3    Tan, F.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.