A new user similarity model to improve the accuracy of collaborative filtering
Tài liệu tham khảo
Zheng, 2010, Which photo groups should I choose? A comparative study of recommendation algorithms in Flickr, J. Inform. Sci., 36, 732
Brynjolfsson, 2003, Consumer surplus in the digital economy: estimating the value of increased product variety at online booksellers, Manage. Sci., 49, 1580, 10.1287/mnsc.49.11.1580.20580
B. Shumeet, R. Seth, D. Sivakumar, Y. Jing, J. Yagnik, S. Kumar, D. Ravichandran, M. Aly, Video suggestion and discovery for YouTube: taking random walks through the view graph, in: International Conference on World Wide Web, 2008, pp. 895–904.
Zhang, 2008, Use of collaborative recommendations for web search: an exploratory user study, J. Inform. Sci., 34, 145, 10.1177/0165551507080413
J.S. Breese, D. Heckerman, C. Kadie, Empirical analysis of predictive algorithms for collaborative filtering, in: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998, pp. 43–52.
Cacheda, 2011, Comparison of collaborative filtering algorithms: limitations of current techniques and proposals for scalable, high-performance recommender system, ACM Trans. Web, 5, 1, 10.1145/1921591.1921593
Pazzani, 2007, Content-based recommendation systems, The Adap. Web, 325, 10.1007/978-3-540-72079-9_10
Junming, 2010, Social recommendation with interpersonal influence, ECAI, 10, 601
L. Jie, S. Qusai, X. Yisi, L. Qing and Z. Guangquan. BizSeeker: a hybrid semantic recommendation system for personalized government-to-business e-services, Internet Res. 20(3) (2010) 342–365.
P. Resnick, N. Iacovou, M. Suchak, P. Bergstrom, J. Riedl, GroupLens: an open architecture for collaborative filtering of netnews, in: Proceeding of the ACM Conference on Computer Supported Cooperative Work, 1994, pp. 175–186.
Adomavicius, 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, 10.1109/TKDE.2005.99
M. Ye, P. Yin, W.C. Lee, Location recommendation for location-based social networks, in: Proceedings of the SIGSPATIAL International Conference on Advance in Geographic Information Systems, 2010, pp. 458–461.
Q. Liu, T. Chen, J. Cai, D. Yu, Enlister: baidu’s recommender systems for the biggest Chinese Q&A website, in: Proceedings of the ACM Conference on Recommender Systems, 2012, pp. 285–288.
Ahn, 2008, A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem, Inform. Sci., 178, 37, 10.1016/j.ins.2007.07.024
M. Jamali, M. Ester, TrustWalker: a random walk model for combining trust-based and item-based recommendation, in: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2009, pp. 397–406.
J.L. Herlocker, J.A. Konstan, A. Borchers, J. Riedl, An algorithmic framework for performing collaborative filtering, in: Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1999, pp. 230–237.
G. Koutrica, B. Bercovitz, H. Garcia, FlexRecs: expressing and combining flexible recommendations, in: Proceedings of the ACM SIGMOD International Conference on Management of Data, 2009, pp. 745–758.
Bobadilla, 2011, A collaborative filtering approach to mitigate the new user cold start problem, Knowledge-Based Syst., 26, 225, 10.1016/j.knosys.2011.07.021
Bobadilla, 2012, A collaborative filtering similarity measure based on singularities, Inform. Process. Manage., 48, 204, 10.1016/j.ipm.2011.03.007
Bobadilla, 2012, Collaborative filtering based on significances, Inform. Sci., 185, 1, 10.1016/j.ins.2011.09.014
Anand, 2011, Utilizing various sparsity measures for enhancing accuracy of collaborative recommender systems based on local and global similarities, Expert Syst. Appl., 38, 5101, 10.1016/j.eswa.2010.09.141
M. Hao, I. King, R.I. Michael, Effective missing data prediction for collaborative filtering, in: Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007, pp. 39–46.
A. Abdelwahab, H. Sekiya, I. Matsuba, Y. Horiuchi, S. Kuroiwa, Collaborative filtering based on an iterative prediction method to alleviate the sparsity problem, in: Proceedings of the International Conference on Information Integration and Web-based Applications & Services, 2009, pp. 375–379.
Goldberg, 2001, Eigentaste: a constant time collaborative filtering algorithm, Inform. Retrieval, 4, 133, 10.1023/A:1011419012209
B.M. Sarwar, G. Karypis, J.A. Konstan, J. Riedl, Application of dimensionality reduction in recommender system – a case study, in: ACM WebKDD Workshop, 2000.
G. Song Jie, Y. Hong Wu, D. YaE, Combining singular value decomposition and item-based recommender in collaborative filtering, in: International Workshop on Knowledge Discovery and Data Mining, 2009, pp. 769–772.
A. Szwabe, M. Ciesielczyk, T. Janasiewicz, Semantically enhanced collaborative filtering based on RSVD, in: Proceedings of the International Conference on Computational Collective Intelligence, 2011, pp. 10–19.
M. Hao, Y. Haixuan, M.R. Lyu, K. Irwin, Sorec: social recommendation using probabilistic matrix factorization, in: Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008, pp. 931–940.
X. Gui Rong, L. Chenxi, Y. Qiang, X. Wensi, Z. Hua Jun, Y. Yong, C. Zheng, Scalable collaborative filtering using cluster-based smoothing, in: Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005, pp. 114–121.
Grcar, 2006, Data sparsity issues in the collaborative filtering framework, Advan. Web Min. Web Usage Anal., 58, 10.1007/11891321_4
C. DanEr, The collaborative filtering recommendation algorithm based on BP neural networks, in: Proceedings of the International Symposium on Intelligent Ubiquitous Computing and Education, 2009, pp. 234–236.
L. Nan, L. Chunping, Zero-sum reward and punishment collaborative filtering recommendation algorithm. in: Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence Agent Technology, 2009, pp. 548–551.
U. Shardanand, P. Maes, Social information filtering: algorithms for automating word of mouth, in: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 1994, pp. 210–217.
P. Cremonesi, Y. Koren, R. Turrin, Performance of recommender algorithms on top-n recommendation tasks, in: Proceedings of the ACM Conference on Recommender Systems, 2010, pp. 39–46.
Francois, 2007, Random-walk computation of similarities between nodes of a graph with application to collaborative recommendation, IEEE Trans. Knowl. Data Eng., 19, 355, 10.1109/TKDE.2007.46
Seok Jong, 2012, The dynamic competitive recommendation algorithm in social network services, Inform. Sci., 187, 1, 10.1016/j.ins.2011.10.020