Computer Science ›› 2016, Vol. 43 ›› Issue (12): 158-162.doi: 10.11896/j.issn.1002-137X.2016.12.028
Previous Articles Next Articles
WANG Jin-kun, JIANG Yuan-chun, SUN Jian-shan and SUN Chun-hua
| [1] Linden G,Smith B,York J.Amazon.com recommendations:Item-to-item collaborative filtering [J].IEEE Internet Computing,2003,7(1):76-80 [2] 项亮.推荐系统实践[M].人民邮电出版社,2012 [3] Sarwar B,Karypis G,Konstan J,et al.Item-based collaborative filtering recommendation algorithms[C]∥Proceedings of the 10th International Conference on World Wide Web.ACM,2001:285-295 [4] Ekstrand M D,Ludwig M,Konstan J A,et al.Rethinking therecommender research ecosystem:reproducibility,openness,and LensKit[C]∥Proceedings of the Fifth ACM Conference on Re-commender Systems.ACM,2011:133-140 [5] Resnick P,Iacovou N,Suchak M,et al.GroupLens:an open architecture for collaborative filtering of netnews[C]∥Procee-dings of the 1994 ACM Conference on Computer Supported Cooperative Work.ACM,1994:175-186 [6] Zhang Yin,Zhang Bin,Gao Ke-ning,et al.Autonomy OrientedPersonalized Tag Recommendation[J].Acta Electronica Sinica,2012,40(12):2353-2359(in Chinese) 张引,张斌,高克宁,等.面向自主意识的标签个性化推荐方法研究[J].电子学报,2012,40(12):2353-2359 [7] Koren Y,Bell R,Volinsky C.Matrix factorization techniques for recommender systems[J].Computer,2009 (8):30-37 [8] Breese J S,Heckerman D,Kadie C.Empirical analysis of predictive algorithms for collaborative filtering[C]∥Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence.Morgan Kaufmann Publishers Inc.,1998:43-52 [9] McLaughlin M R,Herlocker J L.A collaborative filtering algorithm and evaluation metric that accurately model the user experience[C]∥Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval.ACM,2004:329-336 [10] Ahn H J.A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem[J].Information Scien-ces,2008,178(1):37-51 [11] Marlin B M,Zemel R S.Collaborative prediction and rankingwith non-random missing data[C]∥Proceedings of the third ACM Conference on Recommender Systems.ACM,2009:5-12 [12] Little R J A,Rubin D B.Statistical analysis with missing data[M].John Wiley & Sons,2014 [13] Jrvelin K,Keklinen J.Cumulated gain-based evaluation of IR techniques[J].ACM Transactions on Information Systems (TOIS),2002,20(4):422-446 [14] Zhou T,Kuscsik Z,Liu J G,et al.Solving the apparent diversity-accuracy dilemma of recommender systems[J].Proceedings of the National Academy of Sciences,2010,107(10):4511-4515 [15] Vargas S,Castells P.Rank and relevance in novelty and diversity metrics for recommender systems[C]∥Proceedings of the fifth ACM Conference on Recommender Systems.ACM,2011:109-116 |
| No related articles found! |
|
||
Home