메뉴 건너뛰기




Volumn 4, Issue 1, 2014, Pages 1-11

Recommender systems based on collaborative filtering and resource allocation

Author keywords

Collaborative filtering; Information theory; Recommender systems; Resource allocation; Similarity; Social networks

Indexed keywords

BENCHMARKING; ELECTRONIC COMMERCE; INFORMATION FILTERING; INFORMATION THEORY; RECOMMENDER SYSTEMS; RELIABILITY; RESOURCE ALLOCATION; SOCIAL NETWORKING (ONLINE);

EID: 84938386367     PISSN: 18695450     EISSN: 18695469     Source Type: Journal    
DOI: 10.1007/s13278-014-0234-0     Document Type: Article
Times cited : (40)

References (54)
  • 1
    • 85041446827 scopus 로고    scopus 로고
    • Trust management in social networks. Télécom ParisTech, LTCI
    • Abdessalem T, Cautis B, Souhli A (2009) Trust management in social networks. Télécom ParisTech, LTCI, UMR CNRS 514146
    • (2009) UMR CNRS
    • Abdessalem, T.1    Cautis, B.2    Souhli, A.3
  • 2
    • 10944272139 scopus 로고    scopus 로고
    • Friends and neighbors on the web
    • Adamic EA LA (2003) Friends and neighbors on the web. Soc Netw 25:211–230
    • (2003) Soc Netw , vol.25 , pp. 211-230
    • Adamic EA, L.A.1
  • 3
    • 85041434131 scopus 로고    scopus 로고
    • Adamopoulos P, Tuzhilin A (2013) Probabilistic Neighborhood Selection in Collaborative Filtering Systems
    • Adamopoulos P, Tuzhilin A (2013) Probabilistic Neighborhood Selection in Collaborative Filtering Systems
  • 4
    • 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 (2005a) Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Trans Audio Electroacoust Knowl Data Eng 17:734–749
    • (2005) IEEE Trans Audio Electroacoust Knowl Data Eng , vol.17 , pp. 734-749
    • Adomavicius, G.1    Tuzhilin, A.2
  • 5
    • 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 (2005b) Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. Knowl Data Eng, IEEE Trans 17(6):734–749
    • (2005) Knowl Data Eng, IEEE Trans , vol.17 , Issue.6 , pp. 734-749
    • Adomavicius, G.1    Tuzhilin, A.2
  • 6
    • 34948850364 scopus 로고    scopus 로고
    • A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem
    • Ahn HJ (2008) A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem. Inf Sci 178:37–51
    • (2008) Inf Sci , vol.178 , pp. 37-51
    • Ahn, H.J.1
  • 7
    • 84878109602 scopus 로고    scopus 로고
    • Cluster searching strategies for collaborative recommendation systems
    • Altingovde IS, Subakan ÖN, Ulusoy Ö (2013) Cluster searching strategies for collaborative recommendation systems. Inf Process Manage 49:688–697
    • (2013) Inf Process Manage , vol.49 , pp. 688-697
    • Altingovde, I.S.1    Subakan, Ö.N.2    Ulusoy, Ö.3
  • 8
    • 79151482018 scopus 로고    scopus 로고
    • Utilizing various sparsity measures for enhancing accuracy of collaborative recommender systems based on local and global similarities
    • Anand D, Bharadwaj KK (2011) Utilizing various sparsity measures for enhancing accuracy of collaborative recommender systems based on local and global similarities. Expert Syst Appl 38:5101–5109
    • (2011) Expert Syst Appl , vol.38 , pp. 5101-5109
    • Anand, D.1    Bharadwaj, K.K.2
  • 9
    • 85041449813 scopus 로고    scopus 로고
    • ItemBased Collaborative Filtering Recommendation Algorithms, Hong Kong
    • Badrul Sarwar GK, Joseph Konstan, and John Riedl (2001) ItemBased Collaborative Filtering Recommendation Algorithms. Hong Kong
    • (2001) and John Riedl
    • Badrul Sarwar, G.K.1    Konstan, J.2
  • 10
  • 12
    • 34249990939 scopus 로고    scopus 로고
    • Collaborative filtenng recommender systems
    • Ben Schafer DF J, Herlocker Jon, Sen Shilad (2007) Collaborative filtenng recommender systems. LNCS 4321:291–324
    • (2007) LNCS , vol.4321 , pp. 291-324
    • Ben Schafer DF, J.1    Herlocker, J.2    Sen, S.3
  • 13
    • 84155181004 scopus 로고    scopus 로고
    • A collaborative filtering approach to mitigate the new user cold start problem
    • Bobadilla J, Ortega F, Hernando A, Bernal J (2012) A collaborative filtering approach to mitigate the new user cold start problem. Knowl-Based Syst 26:225–238
    • (2012) Knowl-Based Syst , vol.26 , pp. 225-238
    • Bobadilla, J.1    Ortega, F.2    Hernando, A.3    Bernal, J.4
  • 14
    • 84947236218 scopus 로고    scopus 로고
    • John S. Breese DH, and Carl Kadie (1998). Empirical Analysis of Predictive Algorithms for Collaborative Filtering pp 43–52
    • John S. Breese DH, and Carl Kadie (1998). Empirical Analysis of Predictive Algorithms for Collaborative Filtering pp 43–52
  • 15
    • 0036959356 scopus 로고    scopus 로고
    • Hybrid recommender systems: survey and experiments
    • Burke R (2002) Hybrid recommender systems: survey and experiments. User Model User-Adapt Interact 12:331–370
    • (2002) User Model User-Adapt Interact , vol.12 , pp. 331-370
    • Burke, R.1
  • 17
    • 84889281816 scopus 로고    scopus 로고
    • Elements of information theory, Wiley
    • Cover TM, Thomas JA (2012) Elements of information theory, Wiley
    • (2012) Thomas JA
    • Cover, T.M.1
  • 18
    • 34249751638 scopus 로고    scopus 로고
    • The link-prediction problem for social networks
    • David Liben-Nowell JK (2007) The link-prediction problem for social networks. Am Soc Info Sci Technol 58:1019–1031
    • (2007) Am Soc Info Sci Technol , vol.58 , pp. 1019-1031
    • David Liben-Nowell, J.K.1
  • 19
    • 3042821101 scopus 로고    scopus 로고
    • Item-based top-N recommendation algorithms
    • Deshpande M, Karypis G (2004) Item-based top-N recommendation algorithms. ACM Trans Inf Syst 22(1):143–177
    • (2004) ACM Trans Inf Syst , vol.22 , Issue.1 , pp. 143-177
    • Deshpande, M.1    Karypis, G.2
  • 20
    • 79951865393 scopus 로고    scopus 로고
    • Comparison of collaborative filtering algorithms: limitations of current techniques and proposals for scalable, high-performance recommender systems
    • Cacheda F, Carneiro V, Fernandez D, Formoso V (2011) Comparison of collaborative filtering algorithms: limitations of current techniques and proposals for scalable, high-performance recommender systems. ACM Trans Web 5:2
    • (2011) ACM Trans Web , vol.5 , pp. 2
    • Cacheda, F.1    Carneiro, V.2    Fernandez, D.3    Formoso, V.4
  • 21
    • 79960664216 scopus 로고    scopus 로고
    • Analysis and exploitation of musician social networks for recommendation and discovery
    • Fields B, Jacobson K, Rhodes C, d’Inverno M, Sandler M et al (2011) Analysis and exploitation of musician social networks for recommendation and discovery. IEEE Trans Multimed 13:674–786
    • (2011) IEEE Trans Multimed , vol.13 , pp. 674-786
    • Fields, B.1    Jacobson, K.2    Rhodes, C.3    d’Inverno, M.4    Sandler, M.5
  • 22
    • 0035029973 scopus 로고    scopus 로고
    • User modeling in human–computer interaction
    • Fischer G (2001) User modeling in human–computer interaction. User Model User-Adap Inter 11:65–86
    • (2001) User Model User-Adap Inter , vol.11 , pp. 65-86
    • Fischer, G.1
  • 23
    • 33847766633 scopus 로고    scopus 로고
    • Random-walk computation of similarities between nodes of a graph with application to collaborative recommendation
    • Fouss F, Pirotte A, Renders J-M, Saerens M (2007) Random-walk computation of similarities between nodes of a graph with application to collaborative recommendation. Knowl Data Eng, IEEE Trans 19:355–369
    • (2007) Knowl Data Eng, IEEE Trans , vol.19 , pp. 355-369
    • Fouss, F.1    Pirotte, A.2    Renders, J.-M.3    Saerens, M.4
  • 25
    • 20844435854 scopus 로고    scopus 로고
    • Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
    • Gediminas Adomavicius AT (2005) Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Trans Knowl Data Eng 17:734–749
    • (2005) IEEE Trans Knowl Data Eng , vol.17 , pp. 734-749
    • Gediminas Adomavicius, A.T.1
  • 26
    • 84890592321 scopus 로고    scopus 로고
    • Leveraging clustering approaches to solve the gray-sheep users problem in recommender systems
    • Ghazanfar MA, Prügel-Bennett A (2014) Leveraging clustering approaches to solve the gray-sheep users problem in recommender systems. Expert Syst Appl 41:3261–3275
    • (2014) Expert Syst Appl , vol.41 , pp. 3261-3275
    • Ghazanfar, M.A.1    Prügel-Bennett, A.2
  • 27
    • 72249108954 scopus 로고    scopus 로고
    • A unified approach to building hybrid recommender systems
    • Gunawardana A, Meek C (2009) A unified approach to building hybrid recommender systems. ACM pp 117–124
    • (2009) ACM , pp. 117-124
    • Gunawardana, A.1    Meek, C.2
  • 30
    • 3042742744 scopus 로고    scopus 로고
    • Latent semantic models for collaborative filtering
    • Hofmann T (2004) Latent semantic models for collaborative filtering. ACM Trans Inf Syst (TOIS) 22:89–115
    • (2004) ACM Trans Inf Syst (TOIS) , vol.22 , pp. 89-115
    • Hofmann, T.1
  • 32
    • 85041446906 scopus 로고    scopus 로고
    • Accurate and novel recommendations: An algorithm based on popularity forecasting
    • Javari A, Jalili M (2013) Accurate and novel recommendations: An algorithm based on popularity forecasting. ACM Trans Intell Syst Technol (to appear)
    • (2013) ACM Trans Intell Syst Technol (to appear)
    • Javari, A.1    Jalili, M.2
  • 33
    • 84899710039 scopus 로고    scopus 로고
    • Cluster-based collaborative filtering for sign prediction in social networks with positive and negative links
    • Javari A, Jalili M (2014) Cluster-based collaborative filtering for sign prediction in social networks with positive and negative links. ACM Trans Intell Syst Technol (TIST) 5:24
    • (2014) ACM Trans Intell Syst Technol (TIST) , vol.5 , pp. 24
    • Javari, A.1    Jalili, M.2
  • 34
    • 8644230345 scopus 로고    scopus 로고
    • An automatic weighting scheme for collaborative filtering Sheffield
    • Jin R, Chai JY,Si L (2004) An automatic weighting scheme for collaborative filtering Sheffield, UK pp 337–344
    • (2004) UK , pp. 337-344
    • Jin, R.1
  • 35
    • 4243148480 scopus 로고    scopus 로고
    • Authoritative sources in a hyperlinked environment
    • Kleinberg JM (1999) Authoritative sources in a hyperlinked environment. J ACM 46:604–632
    • (1999) J ACM , vol.46 , pp. 604-632
    • Kleinberg, J.M.1
  • 36
    • 84947236995 scopus 로고    scopus 로고
    • Kohavi R(1995) A study of cross-validation and bootstrap for accuracy estimation and model selection. San Francisco, CA pp 1137–1143
    • Kohavi R(1995) A study of cross-validation and bootstrap for accuracy estimation and model selection. San Francisco, CA pp 1137–1143
  • 38
    • 85008044987 scopus 로고    scopus 로고
    • Matrix factorization techniques for recommender systems
    • Koren Y, Bell R, Volinsky C (2009) Matrix factorization techniques for recommender systems. Computer 42:30–37
    • (2009) Computer , vol.42 , pp. 30-37
    • Koren, Y.1    Bell, R.2    Volinsky, C.3
  • 39
    • 65249088955 scopus 로고    scopus 로고
    • Improved Collaborative Filtering Algorithm via Information Transformation
    • Liu Jian-Guo WB-HAGQ (2009) Improved Collaborative Filtering Algorithm via Information Transformation. Int J Mod Phy C 20:285–293
    • (2009) Int J Mod Phy C , vol.20 , pp. 285-293
    • Liu Jian-Guo WB-HAGQ1
  • 40
    • 78751613300 scopus 로고    scopus 로고
    • Link prediction in complex networks: A survey
    • Lü L, Zhou T (2011) Link prediction in complex networks: A survey. Phys A 390:1150–1170
    • (2011) Phys A , vol.390 , pp. 1150-1170
    • Lü, L.1    Zhou, T.2
  • 41
    • 24944446223 scopus 로고    scopus 로고
    • Qualitative analysis of user-based and item-based prediction algorithms for recommendation agents
    • Manos Papagelis DP (2005) Qualitative analysis of user-based and item-based prediction algorithms for recommendation agents. Eng Appl Artif Intell 18:781–789
    • (2005) Eng Appl Artif Intell , vol.18 , pp. 781-789
    • Manos Papagelis, D.P.1
  • 42
    • 18044404897 scopus 로고    scopus 로고
    • Extracting hidden information from knowledge networks
    • Maslov S, Zhang Y-C (2001) Extracting hidden information from knowledge networks. Phys Rev Lett 87:248701
    • (2001) Phys Rev Lett , vol.87 , pp. 248701
    • Maslov, S.1    Zhang, Y.-C.2
  • 43
    • 84894142367 scopus 로고    scopus 로고
    • Ceiling effect of online user interests for the movies
    • Ni J, Zhang Y-L, Hu Z-L, Song W-J, Hou L et al (2014) Ceiling effect of online user interests for the movies. Physica A 402:134–140
    • (2014) Physica A , vol.402 , pp. 134-140
    • Ni, J.1    Zhang, Y.-L.2    Hu, Z.-L.3    Song, W.-J.4    Hou, L.5
  • 48
    • 78650413177 scopus 로고    scopus 로고
    • Empirical analysis of web-based user-object bipartite networks
    • Shang M-S, Lu L, Zhang Y-C, Zhou T (2010) Empirical analysis of web-based user-object bipartite networks. Europhys Lett 92:48006
    • (2010) Europhys Lett , vol.92 , pp. 48006
    • Shang, M.-S.1    Lu, L.2    Zhang, Y.-C.3    Zhou, T.4
  • 49
    • 84947262249 scopus 로고    scopus 로고
    • Recommender systems for location-based social networks: Springer
    • Symeonidis P, Ntempos D, Manolopoulos Y (2014) Recommender systems for location-based social networks: Springer
    • (2014) Manolopoulos Y
    • Symeonidis, P.1    Ntempos, D.2
  • 50
    • 84870843485 scopus 로고    scopus 로고
    • Predicting missing links via local information
    • Tao Zhou LL, Zhang Yi-Cheng (2009) Predicting missing links via local information. Eur Phy 71:623–630
    • (2009) Eur Phy , vol.71 , pp. 623-630
    • Tao Zhou, L.L.1    Zhang, Y.-C.2
  • 52
    • 3042819722 scopus 로고    scopus 로고
    • Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering
    • Zan Huang HC, Zeng Daniel (2004) Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering. ACM Trans Inf Syst 22:116–142
    • (2004) ACM Trans Inf Syst , vol.22 , pp. 116-142
    • Zan Huang, H.C.1    Zeng, D.2
  • 53
    • 35648957764 scopus 로고    scopus 로고
    • Bipartite network projection and personal recommendation
    • Zhou T, Ren J, Medo M, Zhang Y-C (2007) Bipartite network projection and personal recommendation. Phys Rev E 76:046115
    • (2007) Phys Rev E , vol.76 , pp. 046115
    • Zhou, T.1    Ren, J.2    Medo, M.3    Zhang, Y.-C.4
  • 54


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.