메뉴 건너뛰기




Volumn , Issue , 2015, Pages 37-76

A comprehensive survey of neighborhood-based recommendation methods

Author keywords

[No Author keywords available]

Indexed keywords

RECOMMENDER SYSTEMS;

EID: 84956731733     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-1-4899-7637-6_2     Document Type: Chapter
Times cited : (296)

References (73)
  • 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), 734–749 (2005)
    • (2005) IEEE Transactions on Knowledge and Data Engineering , vol.17 , Issue.6 , pp. 734-749
    • Adomavicius, G.1    Tuzhilin, A.2
  • 4
    • 0031103679 scopus 로고    scopus 로고
    • Fab: Content-based, collaborative recommendation
    • Balabanovic, M., Shoham, Y.: Fab: Content-based, collaborative recommendation. Communications of the ACM 40(3), 66–72 (1997)
    • (1997) Communications of the ACM , vol.40 , Issue.3 , pp. 66-72
    • Balabanovic, M.1    Shoham, Y.2
  • 7
    • 0002731035 scopus 로고    scopus 로고
    • Learning collaborative information filters
    • Morgan Kaufmann Publishers Inc., San Francisco, CA, USA
    • Billsus, D., Pazzani, M.J.: Learning collaborative information filters. In: ICML ’98: Proc. of the 15th Int. Conf. on Machine Learning, pp. 46–54. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA (1998)
    • (1998) ICML ’98: Proc. Of the 15Th Int. Conf. On Machine Learning , pp. 46-54
    • Billsus, D.1    Pazzani, M.J.2
  • 11
    • 0038589165 scopus 로고    scopus 로고
    • The anatomy of a large-scale hypertextual Web search engine
    • Brin, S., Page, L.: The anatomy of a large-scale hypertextual Web search engine. Computer Networks and ISDN Systems 30(1–7), 107–117 (1998)
    • (1998) Computer Networks and ISDN Systems , vol.30 , Issue.1-7 , pp. 107-117
    • Brin, S.1    Page, L.2
  • 13
    • 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), 217–255 (2007)
    • (2007) User Modeling and User-Adapted Interaction , vol.17 , Issue.3 , pp. 217-255
    • Degemmis, M.1    Lops, P.2    Semeraro, G.3
  • 16
    • 33847766633 scopus 로고    scopus 로고
    • Random-walk computation of similarities between nodes of a graph with application to collaborative recommendation
    • Fouss, F., Renders, J.M., Pirotte, A., Saerens, M.: Random-walk computation of similarities between nodes of a graph with application to collaborative recommendation. IEEE Transactions on Knowledge and Data Engineering 19(3), 355–369 (2007)
    • (2007) IEEE Transactions on Knowledge and Data Engineering , vol.19 , Issue.3 , pp. 355-369
    • Fouss, F.1    Renders, J.M.2    Pirotte, A.3    Saerens, M.4
  • 17
    • 84878078886 scopus 로고    scopus 로고
    • An experimental investigation of graph kernels on a collaborative recommendation task
    • IEEE Computer Society, Washington, DC, USA
    • Fouss, F., Yen, L., Pirotte, A., Saerens, M.: An experimental investigation of graph kernels on a collaborative recommendation task. In: ICDM ’06: Proc. of the 6th Int. Conf. on Data Mining,. 863–868. IEEE Computer Society, Washington, DC, USA (2006)
    • (2006) ICDM ’06: Proc. Of the 6Th Int. Conf. On Data Mining , pp. 863-868
    • Fouss, F.1    Yen, L.2    Pirotte, A.3    Saerens, M.4
  • 20
    • 0002549585 scopus 로고    scopus 로고
    • Eigentaste: A constant time collaborative filtering algorithm
    • Goldberg, K., Roeder, T., Gupta, D., Perkins, C.: Eigentaste: A constant time collaborative filtering algorithm. Information Retrieval 4(2), 133–151 (2001)
    • (2001) Information Retrieval , vol.4 , Issue.2 , pp. 133-151
    • Goldberg, K.1    Roeder, T.2    Gupta, D.3    Perkins, C.4
  • 22
    • 84880877231 scopus 로고    scopus 로고
    • Itemrank: A random-walk based scoring algorithm for recommender engines
    • Gori, M., Pucci, A.: Itemrank: a random-walk based scoring algorithm for recommender engines. In: Proc. of the 2007 IJCAI Conf., pp. 2766–2771 (2007)
    • (2007) Proc. Of the 2007 IJCAI Conf
    • Gori, M.1    Pucci, A.2
  • 23
    • 70350687463 scopus 로고    scopus 로고
    • -NN versus SVM in the collaborative filtering framework
    • Grcar, M., Fortuna, B., Mladenic, D., Grobelnik, M.: k-NN versus SVM in the collaborative filtering framework. Data Science and Classification pp. 251–260 (2006). URL http://db.cs. ualberta.ca/webkdd05/proc/paper25-mladenic.pdf
    • (2006) Data Science and Classification , pp. 251-260
    • Grcar, M.1    Fortuna, B.2    Mladenic, D.3    Grobelnik, M.4
  • 24
    • 3042829247 scopus 로고    scopus 로고
    • An empirical analysis of design choices in neighborhood-based collaborative filtering algorithms
    • Herlocker, J., Konstan, J.A., Riedl, J.: An empirical analysis of design choices in neighborhood-based collaborative filtering algorithms. Inf. Retr. 5(4), 287–310 (2002)
    • (2002) Inf. Retr , vol.5 , Issue.4 , pp. 287-310
    • Herlocker, J.1    Konstan, J.A.2    Riedl, J.3
  • 26
    • 3042697346 scopus 로고    scopus 로고
    • Evaluating collaborative filtering recommender systems. ACM Trans
    • Herlocker, J.L., Konstan, J.A., Terveen, L.G., Riedl, J.T.: Evaluating collaborative filtering recommender systems. ACM Trans. Inf. Syst. 22(1), 5–53 (2004)
    • (2004) Inf.Syst , vol.22 , Issue.1 , pp. 5-53
    • Herlocker, J.L.1    Konstan, J.A.2    Terveen, L.G.3    Riedl, J.T.4
  • 30
    • 3042819722 scopus 로고    scopus 로고
    • Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering
    • Huang, Z., Chen, H., Zeng, D.: Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering. ACM Transactions on Information Systems 22(1), 116–142 (2004)
    • (2004) ACM Transactions on Information Systems , vol.22 , Issue.1 , pp. 116-142
    • Huang, Z.1    Chen, H.2    Zeng, D.3
  • 35
    • 0002827622 scopus 로고
    • A new status index derived from sociometric analysis
    • Katz, L.: A new status index derived from sociometric analysis. Psychometrika 18(1), 39–43 (1953)
    • (1953) Psychometrika , vol.18 , Issue.1 , pp. 39-43
    • Katz, L.1
  • 37
    • 84887571114 scopus 로고    scopus 로고
    • Towards scalable and accurate item-oriented recommendations
    • ACM, New York, NY, USA
    • Koenigstein, N., Koren, Y.: Towards scalable and accurate item-oriented recommendations. In: Proceedings of the 7th ACM conference on Recommender systems, RecSys ’13, pp. 419–422. ACM, New York, NY, USA (2013). DOI 10.1145/2507157.2507208.URL http://doi.acm.org/10.1145/2507157.2507208
    • (2013) In: Proceedings of the 7Th ACM Conference on Recommender Systems, Recsys , vol.13 , pp. 419-422
    • Koenigstein, N.1    Koren, Y.2
  • 38
    • 0041775676 scopus 로고    scopus 로고
    • Diffusion kernels on graphs and other discrete input spaces
    • Morgan Kaufmann Publishers Inc., San Francisco, CA, USA
    • Kondor, R.I., Lafferty, J.D.: Diffusion kernels on graphs and other discrete input spaces. In: ICML ’02: Proc. of the Nineteenth Int. Conf. on Machine Learning, pp. 315–322. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA (2002)
    • (2002) ICML ’02: Proc. Of the Nineteenth Int. Conf. On Machine Learning , pp. 315-322
    • Kondor, R.I.1    Lafferty, J.D.2
  • 42
    • 85142688646 scopus 로고
    • NewsWeeder: Learning to filter netnews
    • Morgan Kaufmann publishers Inc.: San Mateo, CA, USA
    • Lang, K.: NewsWeeder: Learning to filter netnews. In: Proc. of the 12th Int. Conf. onMachine Learning, pp. 331–339. Morgan Kaufmann publishers Inc.: San Mateo, CA, USA (1995)
    • (1995) Proc. Of the 12Th Int. Conf. Onmachine Learning , pp. 331-339
    • Lang, K.1
  • 44
    • 0037252945 scopus 로고    scopus 로고
    • Amazon.Com recommendations: Item-to-item collaborative filtering
    • Linden, G., Smith, B., York, J.: Amazon.com recommendations: Item-to-item collaborative filtering. IEEE Internet Computing 7(1), 76–80 (2003)
    • (2003) IEEE Internet Computing , vol.7 , Issue.1 , pp. 76-80
    • Linden, G.1    Smith, B.2    York, J.3
  • 45
    • 48349093367 scopus 로고    scopus 로고
    • A collaborative filtering framework based on both local user similarity and global user similarity
    • Luo, H., Niu, C., Shen, R., Ullrich, C.: A collaborative filtering framework based on both local user similarity and global user similarity. Machine Learning 72(3), 231–245 (2008)
    • (2008) Machine Learning , vol.72 , Issue.3 , pp. 231-245
    • Luo, H.1    Niu, C.2    Shen, R.3    Ullrich, C.4
  • 47
    • 0036932094 scopus 로고    scopus 로고
    • Content-boosted collaborative filtering for improved recommendations
    • American Association for Artificial Intelligence, Menlo Park, CA, USA
    • Melville, P., Mooney, R.J., Nagarajan, R.: Content-boosted collaborative filtering for improved recommendations. In: 18th National Conf. on Artificial intelligence, pp. 187–192. American Association for Artificial Intelligence, Menlo Park, CA, USA (2002)
    • (2002) 18Th National Conf. On Artificial Intelligence , pp. 187-192
    • Melville, P.1    Mooney, R.J.2    Nagarajan, R.3
  • 48
    • 0013248646 scopus 로고    scopus 로고
    • Collaborative filtering using weighted majority prediction algorithms
    • Morgan Kaufmann Publishers Inc., San Francisco, CA, USA
    • Nakamura, A., Abe, N.: Collaborative filtering using weighted majority prediction algorithms. In: ICML ’98: Proc. of the 15th Int. Conf. on Machine Learning, pp. 395–403. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA (1998)
    • (1998) ICML ’98: Proc. Of the 15Th Int. Conf. On Machine Learning , pp. 395-403
    • Nakamura, A.1    Abe, N.2
  • 49
    • 84887579095 scopus 로고    scopus 로고
    • Which app will you use next?: Collaborative filtering with interactional context
    • ACM, New York, NY, USA
    • Natarajan, N., Shin, D., Dhillon, I.S.: Which app will you use next?: collaborative filtering with interactional context. In: Proceedings of the 7th ACM conference on Recommender systems, RecSys ’13, pp. 201–208. ACM, New York, NY, USA (2013). DOI 10.1145/2507157.2507186. URL http://doi.acm.org/10.1145/2507157.2507186
    • (2013) In: Proceedings of the 7Th ACM Conference on Recommender Systems, Recsys , vol.13 , pp. 201-208
    • Natarajan, N.1    Shin, D.2    Dhillon, I.S.3
  • 51
    • 84867361735 scopus 로고    scopus 로고
    • Sparse linear methods with side information for top-n recommendations
    • ACM, New York, NY, USA
    • Ning, X., Karypis, G.: Sparse linear methods with side information for top-n recommendations. In: Proceedings of the sixth ACM conference on Recommender systems, RecSys ’12, pp. 155–162. ACM, New York, NY, USA (2012). DOI 10.1145/2365952.2365983. URL http://doi.acm.org/10.1145/2365952.2365983
    • (2012) In: Proceedings of the Sixth ACM Conference on Recommender Systems, Recsys , vol.12 , pp. 155-162
    • Ning, X.1    Karypis, G.2
  • 52
    • 0003781238 scopus 로고    scopus 로고
    • Cambridge University Press, Cambridge
    • Norris, J.R.: Markov Chains, 1 edn. Cambridge University Press, Cambridge (1999)
    • (1999) Markov Chains, 1 Edn
    • Norris, J.R.1
  • 53
    • 57949113756 scopus 로고    scopus 로고
    • Improving regularized singular value decomposition for collaborative filtering
    • Paterek, A.: Improving regularized singular value decomposition for collaborative filtering. In: Proceedings of the KDD Cup and Workshop (2007)
    • (2007) Proceedings of the KDD Cup and Workshop
    • Paterek, A.1
  • 54
    • 0031168547 scopus 로고    scopus 로고
    • Learning and revising user profiles: The identification of interesting Web sites
    • Pazzani, M., Billsus, D.: Learning and revising user profiles: The identification of interesting Web sites. Machine Learning 27(3), 313–331 (1997)
    • (1997) Machine Learning , vol.27 , Issue.3 , pp. 313-331
    • Pazzani, M.1    Billsus, D.2
  • 55
    • 0033325071 scopus 로고    scopus 로고
    • A framework for collaborative, content-based and demographic filtering
    • Pazzani, M.J.: A framework for collaborative, content-based and demographic filtering. Artificial Intelligence Review 13(5–6), 393–408 (1999)
    • (1999) Artificial Intelligence Review , vol.13 , Issue.56 , pp. 393-408
    • Pazzani, M.J.1
  • 60
    • 3042788736 scopus 로고    scopus 로고
    • Application of dimensionality reduction in recommender systems – A case study
    • Sarwar, B.M., Karypis, G., Konstan, J.A., Riedl, J.T.: Application of dimensionality reduction in recommender systems – A case study. In: ACM WebKDD Workshop (2000)
    • (2000) ACM Webkdd Workshop
    • Sarwar, B.M.1    Karypis, G.2    Konstan, J.A.3    Riedl, J.T.4
  • 63
    • 0029179043 scopus 로고
    • Social information filtering: Algorithms for automating “word of mouth”
    • ACM Press/Addison-Wesley Publishing Co., New York, NY, USA
    • Shardanand, U., Maes, P.: Social information filtering: Algorithms for automating “word of mouth”. In: CHI ’95: Proc. of the SIGCHI Conf. on Human factors in Computing Systems, pp. 210–217. ACM Press/Addison-Wesley Publishing Co., New York, NY, USA (1995)
    • (1995) CHI ’95: Proc. Of the SIGCHI Conf. On Human Factors in Computing Systems , pp. 210-217
    • Shardanand, U.1    Maes, P.2
  • 64
    • 0034244751 scopus 로고    scopus 로고
    • Normalized cuts and image segmentation. Pattern Analysis and Machine Intelligence
    • Shi, J., Malik, J.: Normalized cuts and image segmentation. Pattern Analysis and Machine Intelligence, IEEE Transactions on 22(8), 888–905 (2000)
    • (2000) IEEE Transactions On , vol.22 , Issue.8 , pp. 888-905
    • Shi, J.1    Malik, J.2
  • 67
    • 48349120710 scopus 로고    scopus 로고
    • Tikk, D.:Major components of the gravity recommendation system
    • Takács, G., Pilászy, I., Németh, B., Tikk, D.:Major components of the gravity recommendation system. SIGKDD Exploration Newsletter 9(2), 80–83 (2007)
    • (2007) SIGKDD Exploration Newsletter , vol.9 , Issue.2 , pp. 80-83
    • Takács, G.1    Pilászy, I.2    Németh, B.3
  • 71
    • 70549083928 scopus 로고    scopus 로고
    • Weighted nonnegative matrix co-tri-factorization for collaborative prediction
    • Z.H. Zhou, T. Washio (eds.), Springer Berlin /Heidelberg
    • Yoo, J., Choi, S.:Weighted nonnegative matrix co-tri-factorization for collaborative prediction. In: Z.H. Zhou, T. Washio (eds.) Advances in Machine Learning, Lecture Notes in Computer Science, vol. 5828, pp. 396–411. Springer Berlin /Heidelberg (2009)
    • (2009) Advances in Machine Learning, Lecture Notes in Computer Science , vol.5828 , pp. 396-411
    • Yoo, J.1    Choi, S.2
  • 73


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.