-
1
-
-
20844435854
-
Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions
-
G. Adomavicius and A. Tuzhilin. 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
-
2
-
-
33750341480
-
Improving web search ranking by incorporating user behavior information
-
New York, NY, USA ACM
-
E. Agichtein, E. Brill, and S. Dumais. Improving web search ranking by incorporating user behavior information. In Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, SIGIR '06, pages 19-26, New York, NY, USA, 2006. ACM.
-
(2006)
Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR '06
, pp. 19-26
-
-
Agichtein, E.1
Brill, E.2
Dumais, S.3
-
3
-
-
57349146373
-
Lessons from the netflix prize challenge
-
Dec.
-
R. M. Bell and Y. Koren. Lessons from the netflix prize challenge. SIGKDD Explor. Newsl, 9(2): 75-79, Dec. 2007.
-
(2007)
SIGKDD Explor. Newsl
, vol.9
, Issue.2
, pp. 75-79
-
-
Bell, R.M.1
Koren, Y.2
-
4
-
-
38049105766
-
-
[Online; accessed 26-September-2012]
-
S. Funk. Netflix Update: Try This At Home. http://sifter.org/~simon/ journal/20061211.html, 2006. [Online; accessed 26-September-2012].
-
(2006)
Netflix Update: Try this at Home
-
-
Funk, S.1
-
5
-
-
79951727814
-
Learning attribute-to-feature mappings for cold-start recommendations
-
dec.
-
Z. Gantner, L. Drumond, C. Freudenthaler, S. Rendle, and L. Schmidt-Thieme. Learning attribute-to-feature mappings for cold-start recommendations. In 2010 IEEE 10th International Conference on Data Mining (ICDM), pages 176-185, dec. 2010.
-
(2010)
2010 IEEE 10th International Conference on Data Mining (ICDM)
, pp. 176-185
-
-
Gantner, Z.1
Drumond, L.2
Freudenthaler, C.3
Rendle, S.4
Schmidt-Thieme, L.5
-
6
-
-
82555181725
-
MyMediaLite: A free recommender system library
-
New York, NY, USA
-
Z. Gantner, S. Rendle, C. Freudenthaler, and L. Schmidt-Thieme. MyMediaLite: A free recommender system library. In Proceedings of the 5th ACM Conference on Recommender Systems, RecSys '11, pages 305-308, New York, NY, USA, 2011.
-
(2011)
Proceedings of the 5th ACM Conference on Recommender Systems, RecSys '11
, pp. 305-308
-
-
Gantner, Z.1
Rendle, S.2
Freudenthaler, C.3
Schmidt-Thieme, L.4
-
7
-
-
3042829247
-
An empirical analysis of design choices in neighborhood-based collaborative filtering algorithms
-
Oct.
-
J. Herlocker, J. A. Konstan, and J. Riedl. An empirical analysis of design choices in neighborhood-based collaborative filtering algorithms. Inf. Retr., 5(4): 287-310, Oct. 2002.
-
(2002)
Inf. Retr.
, vol.5
, Issue.4
, pp. 287-310
-
-
Herlocker, J.1
Konstan, J.A.2
Riedl, J.3
-
8
-
-
67049164166
-
Collaborative filtering for implicit feedback datasets
-
Washington, DC, USA IEEE Computer Society
-
Y. Hu, Y. Koren, and C. Volinsky. Collaborative filtering for implicit feedback datasets. In Proceedings of the 2008 Eighth IEEE International Conference on Data Mining, ICDM '08, pages 263-272, Washington, DC, USA, 2008. IEEE Computer Society.
-
(2008)
Proceedings of the 2008 Eighth IEEE International Conference on Data Mining, ICDM '08
, pp. 263-272
-
-
Hu, Y.1
Koren, Y.2
Volinsky, C.3
-
9
-
-
84885665252
-
Accurately interpreting clickthrough data as implicit feedback
-
New York, NY, USA ACM
-
T. Joachims, L. Granka, B. Pan, H. Hembrooke, and G. Gay. Accurately interpreting clickthrough data as implicit feedback. In Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval, SIGIR '05, pages 154-161, New York, NY, USA, 2005. ACM.
-
(2005)
Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR '05
, pp. 154-161
-
-
Joachims, T.1
Granka, L.2
Pan, B.3
Hembrooke, H.4
Gay, G.5
-
10
-
-
65449121157
-
Factorization meets the neighborhood: A multifaceted collaborative filtering model
-
New York, NY, USA ACM
-
Y. Koren. Factorization meets the neighborhood: a multifaceted collaborative filtering model. In Proceedings of the 14th A CM SIGKDD international conference on Knowledge discovery and data mining, KDD '08, pages 426-434, New York, NY, USA, 2008. ACM.
-
(2008)
Proceedings of the 14th a CM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '08
, pp. 426-434
-
-
Koren, Y.1
-
11
-
-
77955644905
-
Factor in the neighbors: Scalable and accurate collaborative filtering
-
Jan.
-
Y. Koren. Factor in the neighbors: Scalable and accurate collaborative filtering. A CM Trans. Knowl. Discov. Data, 4(1): 1:1-1:24, Jan. 2010.
-
(2010)
A CM Trans. Knowl. Discov. Data
, vol.4
, Issue.1
, pp. 101-124
-
-
Koren, Y.1
-
12
-
-
84867366970
-
Discovering latent factors from movies genres for enhanced recommendation
-
New York, NY, USA
-
M. G. Manzato. Discovering Latent Factors from Movies Genres for Enhanced Recommendation. In Proceedings of the 6th A CM Conferece on Recommender Systems, RecSys '12, pages 249-252, New York, NY, USA, 2012.
-
(2012)
Proceedings of the 6th a CM Conferece on Recommender Systems, RecSys '12
, pp. 249-252
-
-
Manzato, M.G.1
-
16
-
-
84867382271
-
Local implicit feedback mining for music recommendation
-
New York, NY, USA ACM
-
D. Yang, T. Chen, W. Zhang, Q. Lu, and Y. Yu. Local implicit feedback mining for music recommendation. In Proceedings of the 6th A CM Conference on Recommender Systems, RecSys '12, pages 91-98, New York, NY, USA, 2012. ACM.
-
(2012)
Proceedings of the 6th a CM Conference on Recommender Systems, RecSys '12
, pp. 91-98
-
-
Yang, D.1
Chen, T.2
Zhang, W.3
Lu, Q.4
Yu, Y.5
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