-
1
-
-
36849079891
-
Modeling relationships at multiple scales to improve accuracy of large recommender systems
-
DOI 10.1145/1281192.1281206, KDD-2007: Proceedings of the Thirteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
-
R. Bell, Y. Koren, and C. Volinsky. Modeling relationships at multiple scales to improve accuracy of large recommender systems. In Proc. of KDD '07, pages 95-104, San Jose, California, USA, 2007. (Pubitemid 350229196)
-
(2007)
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 95-104
-
-
Bell, R.1
Koren, Y.2
Volinsky, C.3
-
2
-
-
0002051628
-
Empirical analysis of predictive algorithms for collaborative filtering
-
J. S. Breese, D. Heckerman, and C. Kadie. Empirical analysis of predictive algorithms for collaborative filtering. In Proc. of UAI '98, 1998.
-
(1998)
Proc. of UAI '98
-
-
Breese, J.S.1
Heckerman, D.2
Kadie, C.3
-
3
-
-
0036993076
-
Collaborative filtering with privacy via factor analysis
-
Tampere, Finland
-
J. Canny. Collaborative filtering with privacy via factor analysis. In Proc. of SIGIR '02, pages 238-245, Tampere, Finland, 2002.
-
(2002)
Proc. of SIGIR '02
, pp. 238-245
-
-
Canny, J.1
-
4
-
-
8644267631
-
GaP: A factor model for discrete data
-
Sheffield, United Kingdom
-
J. Canny. GaP: a factor model for discrete data. In Proc. of SIGIR '04, pages 122-129, Sheffield, United Kingdom, 2004.
-
(2004)
Proc. of SIGIR '04
, pp. 122-129
-
-
Canny, J.1
-
6
-
-
35248819694
-
Recommendation models for user accesses to web pages
-
Istanbul, Turkey
-
S. Gündüz and M. T. Özsu. Recommendation models for user accesses to web pages. In Proc. of ICANN/ICONIP'03, pages 1003-1010, Istanbul, Turkey, 2003.
-
(2003)
Proc. of ICANN/ICONIP'03
, pp. 1003-1010
-
-
Gündüz, S.1
Özsu, M.T.2
-
7
-
-
1542377533
-
Collaborative filtering via Gaussian probabilistic latent semantic analysis
-
Toronto, Canada
-
T. Hofmann. Collaborative filtering via gaussian probabilistic latent semantic analysis. In Proc. of SIGIR '03, pages 259-266, Toronto, Canada, 2003.
-
(2003)
Proc. of SIGIR '03
, pp. 259-266
-
-
Hofmann, T.1
-
8
-
-
3042742744
-
Latent semantic models for collaborative filtering
-
T. Hofmann. Latent semantic models for collaborative filtering. ACM Transactions on Information Systems, 22(1):89-115, 2004.
-
(2004)
ACM Transactions on Information Systems
, vol.22
, Issue.1
, pp. 89-115
-
-
Hofmann, T.1
-
9
-
-
3042819722
-
Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering
-
Z. Huang, H. Chen, and D. Zeng. Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering. ACM Trans. Inf. Syst., 22(1):116-142, 2004.
-
(2004)
ACM Trans. Inf. Syst.
, vol.22
, Issue.1
, pp. 116-142
-
-
Huang, Z.1
Chen, H.2
Zeng, D.3
-
10
-
-
8644230345
-
An automatic weighting scheme for collaborative filtering
-
Sheffield, United Kingdom
-
R. Jin, J. Y. Chai, and L. Si. An automatic weighting scheme for collaborative filtering. In Proc. of SIGIR '04, pages 337-344, Sheffield, United Kingdom, 2004.
-
(2004)
Proc. of SIGIR '04
, pp. 337-344
-
-
Jin, R.1
Chai, J.Y.2
Si, L.3
-
11
-
-
84868705038
-
Integrating recommendation models for improved web page prediction accuracy
-
Wollongong, Australia
-
F. Khalil, J. Li, and H. Wang. Integrating recommendation models for improved web page prediction accuracy. In Proc. of ACSC '08, pages 91-100, Wollongong, Australia, 2008.
-
(2008)
Proc. of ACSC '08
, pp. 91-100
-
-
Khalil, F.1
Li, J.2
Wang, H.3
-
12
-
-
0013271231
-
Clustering for collaborative filtering applications
-
A. Kohrs and B. Merialdo. Clustering for collaborative filtering applications. In Proceedings of CIMCA, 1999.
-
(1999)
Proceedings of CIMCA
-
-
Kohrs, A.1
Merialdo, B.2
-
13
-
-
70350647708
-
Collaborative filtering with temporal dynamics
-
Paris, France
-
Y. Koren. Collaborative filtering with temporal dynamics. In Proc. of KDD '09, pages 447-456, Paris, France, 2009.
-
(2009)
Proc. of KDD '09
, pp. 447-456
-
-
Koren, Y.1
-
15
-
-
0033592606
-
Learning the parts of objects by non-negative matrix factorization
-
D. D. Lee and H. S. Seung. Learning the parts of objects by non-negative matrix factorization. Nature, 401(6755):788-791, 1999.
-
(1999)
Nature
, vol.401
, Issue.6755
, pp. 788-791
-
-
Lee, D.D.1
Seung, H.S.2
-
16
-
-
84898964201
-
Algorithms for non-negative matrix factorization
-
D. D. Lee and H. S. Seung. Algorithms for non-negative matrix factorization. In Proc. of NIPS '00, pages 556-562, 2000.
-
(2000)
Proc. of NIPS '00
, pp. 556-562
-
-
Lee, D.D.1
Seung, H.S.2
-
17
-
-
0037252945
-
Amazon.com recommendations: Item-to-item collaborative filtering
-
Jan/Feb
-
G. Linden, B. Smith, and J. York. Amazon.com recommendations: Item-to-item collaborative filtering. IEEE Internet Computing, pages 76-80, Jan/Feb 2003.
-
(2003)
IEEE Internet Computing
, pp. 76-80
-
-
Linden, G.1
Smith, B.2
York, J.3
-
18
-
-
57349097660
-
Eigenrank: A ranking-oriented approach to collaborative filtering
-
Singapore, Singapore
-
N. N. Liu and Q. Yang. Eigenrank: a ranking-oriented approach to collaborative filtering. In Proc. of SIGIR '08, pages 83-90, Singapore, Singapore, 2008.
-
(2008)
Proc. of SIGIR '08
, pp. 83-90
-
-
Liu, N.N.1
Yang, Q.2
-
19
-
-
36448972659
-
Effective missing data prediction for collaborative filtering
-
DOI 10.1145/1277741.1277751, Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07
-
H. Ma, I. King, and M. R. Lyu. Effective missing data prediction for collaborative filtering. In Proc. of SIGIR '07, pages 39-46, Amsterdam, The Netherlands, 2007. (Pubitemid 350164942)
-
(2007)
Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07
, pp. 39-46
-
-
Ma, H.1
King, I.2
Lyu, M.R.3
-
20
-
-
34250689178
-
Automatic identification of user interest for personalized search
-
DOI 10.1145/1135777.1135883, Proceedings of the 15th International Conference on World Wide Web
-
F. Qiu and J. Cho. Automatic identification of user interest for personalized search. In Proc. of WWW '06, pages 727-736, Edinburgh, Scotland, 2006. (Pubitemid 46946664)
-
(2006)
Proceedings of the 15th International Conference on World Wide Web
, pp. 727-736
-
-
Qiu, F.1
Cho, J.2
-
21
-
-
31844451557
-
Fast maximum margin matrix factorization for collaborative prediction
-
Bonn, Germany
-
J. D. M. Rennie and N. Srebro. Fast maximum margin matrix factorization for collaborative prediction. In Proc. of ICML '05, pages 713-719, Bonn, Germany, 2005.
-
(2005)
Proc. of ICML '05
, pp. 713-719
-
-
Rennie, J.D.M.1
Srebro, N.2
-
23
-
-
56449131205
-
Bayesian probabilistic matrix factorization using Markov chain Monte Carlo
-
R. Salakhutdinov and A. Mnih. Bayesian probabilistic matrix factorization using markov chain monte carlo. In Proc. of ICML '08, 2008.
-
(2008)
Proc. of ICML '08
-
-
Salakhutdinov, R.1
Mnih, A.2
-
24
-
-
85052617391
-
Item-based collaborative filtering recommendation algorithms
-
Hong Kong, Hong Kong
-
B. Sarwar, G. Karypis, J. Konstan, and J. Reidl. Item-based collaborative filtering recommendation algorithms. In Proc. of WWW '01, pages 285-295, Hong Kong, Hong Kong, 2001.
-
(2001)
Proc. of WWW '01
, pp. 285-295
-
-
Sarwar, B.1
Karypis, G.2
Konstan, J.3
Reidl, J.4
-
25
-
-
1942516799
-
Flexible mixture model for collaborative filtering
-
L. Si and R. Jin. Flexible mixture model for collaborative filtering. In Proc. of ICML '03, 2003.
-
(2003)
Proc. of ICML '03
-
-
Si, L.1
Jin, R.2
-
26
-
-
1942516801
-
Weighted low-rank approximations
-
Washington, DC, USA
-
N. Srebro and T. Jaakkola. Weighted low-rank approximations. In Proc. of ICML '03, pages 720-727, Washington, DC, USA, 2003.
-
(2003)
Proc. of ICML '03
, pp. 720-727
-
-
Srebro, N.1
Jaakkola, T.2
-
27
-
-
34250676942
-
Cubesvd: A novel approach to personalized web search
-
Chiba, Japan
-
J.-T. Sun, H.-J. Zeng, H. Liu, Y. Lu, and Z. Chen. Cubesvd: a novel approach to personalized web search. In Proc. of WWW '05, pages 382-390, Chiba, Japan, 2005.
-
(2005)
Proc. of WWW '05
, pp. 382-390
-
-
Sun, J.-T.1
Zeng, H.-J.2
Liu, H.3
Lu, Y.4
Chen, Z.5
-
28
-
-
84885664744
-
Personalizing search via automated analysis of interests and activities
-
Salvador, Brazil
-
J. Teevan, S. T. Dumais, and E. Horvitz. Personalizing search via automated analysis of interests and activities. In Proc. of SIGIR '05, pages 449-456, Salvador, Brazil, 2005.
-
(2005)
Proc. of SIGIR '05
, pp. 449-456
-
-
Teevan, J.1
Dumais, S.T.2
Horvitz, E.3
-
29
-
-
72449196732
-
Predicting user interests from contextual information
-
Boston, MA, USA
-
R. W. White, P. Bailey, and L. Chen. Predicting user interests from contextual information. In Proc. of SIGIR '09, pages 363-370, Boston, MA, USA, 2009.
-
(2009)
Proc. of SIGIR '09
, pp. 363-370
-
-
White, R.W.1
Bailey, P.2
Chen, L.3
-
30
-
-
72449152230
-
Fast nonparametric matrix factorization for large-scale collaborative filtering
-
Boston, MA, USA
-
K. Yu, S. Zhu, J. Lafferty, and Y. Gong. Fast nonparametric matrix factorization for large-scale collaborative filtering. In Proc. of SIGIR '09, pages 211-218, Boston, MA, USA, 2009.
-
(2009)
Proc. of SIGIR '09
, pp. 211-218
-
-
Yu, K.1
Zhu, S.2
Lafferty, J.3
Gong, Y.4
-
31
-
-
36448969351
-
Efficient bayesian hierarchical user modeling for recommendation system
-
DOI 10.1145/1277741.1277752, Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07
-
Y. Zhang and J. Koren. Efficient bayesian hierarchical user modeling for recommendation system. In Proc. of SIGIR '07, pages 47-54, Amsterdam, The Netherlands, 2007. (Pubitemid 350164943)
-
(2007)
Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07
, pp. 47-54
-
-
Zhang, Y.1
Koren, J.2
-
32
-
-
57349186514
-
Learning multiple graphs for document recommendations
-
Beijing, China
-
D. Zhou, S. Zhu, K. Yu, X. Song, B. L. Tseng, H. Zha, and C. L. Giles. Learning multiple graphs for document recommendations. In Proc. of WWW '08, Beijing, China, 2008.
-
(2008)
Proc. of WWW '08
-
-
Zhou, D.1
Zhu, S.2
Yu, K.3
Song, X.4
Tseng, B.L.5
Zha, H.6
Giles, C.L.7
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