-
1
-
-
84863344448
-
Online models for content optimization
-
D. Agarwal, B. Chen, P. Elango, N. Motgi, S. Park, R. Ramakrishnan, S. Roy, and J. Zachariah. Online models for content optimization. In Advances in Neural Information Processing Systems 21, 2009.
-
(2009)
Advances in Neural Information Processing Systems
, vol.21
-
-
Agarwal, D.1
Chen, B.2
Elango, P.3
Motgi, N.4
Park, S.5
Ramakrishnan, R.6
Roy, S.7
Zachariah, J.8
-
2
-
-
70350664430
-
-
D. Agarwal and B.-C. Chen. Regression based latent factor models. In KDD, 2009.
-
D. Agarwal and B.-C. Chen. Regression based latent factor models. In KDD, 2009.
-
-
-
-
3
-
-
36849023117
-
-
D. Agarwal and S. Merugu. Predictive discrete latent factor models for large scale dyadic data. In KDD, 2007.
-
D. Agarwal and S. Merugu. Predictive discrete latent factor models for large scale dyadic data. In KDD, 2007.
-
-
-
-
4
-
-
0002734008
-
Horting hatches an egg: A new graph-theoretic approach to collaborative filtering
-
C. C. Aggarwal, J. L. Wolf, K.-L. Wu, and P. S. Yu. Horting hatches an egg: a new graph-theoretic approach to collaborative filtering. In ACM KDD, pages 201-212, 1999.
-
(1999)
ACM KDD
, pp. 201-212
-
-
Aggarwal, C.C.1
Wolf, J.L.2
Wu, K.-L.3
Yu, P.S.4
-
5
-
-
0031103679
-
Fab: Content-based, collaborative recommendation
-
M. Balabanovic and Y. Shoham. Fab: content-based, collaborative recommendation. Communications of the ACM, 40(3):66-72, 1997.
-
(1997)
Communications of the ACM
, vol.40
, Issue.3
, pp. 66-72
-
-
Balabanovic, M.1
Shoham, Y.2
-
6
-
-
8644290257
-
A joint framework for collaborative and content filtering
-
J. Basilico and T. Hofmann. A joint framework for collaborative and content filtering. In ACM SIGIR, 2004.
-
(2004)
ACM SIGIR
-
-
Basilico, J.1
Hofmann, T.2
-
7
-
-
0031640270
-
Recommendation as classification: Using social and content-based information in recommendation
-
C. Basu, H. Hirsh, and W. W. Cohen. Recommendation as classification: Using social and content-based information in recommendation. In AAAI/IAAI, pages 714-720, 1998.
-
(1998)
AAAI/IAAI
, pp. 714-720
-
-
Basu, C.1
Hirsh, H.2
Cohen, W.W.3
-
8
-
-
36849079891
-
-
R. Bell, Y. Koren, and C. Volinsky. Modeling relationships at multiple scales to improve accuracy of large recommender systems. In KDD, 2007.
-
R. Bell, Y. Koren, and C. Volinsky. Modeling relationships at multiple scales to improve accuracy of large recommender systems. In KDD, 2007.
-
-
-
-
9
-
-
0002731035
-
Learning collaborative information filters
-
D. Billsus and M. J. Pazzani. Learning collaborative information filters. In ICML, pages 46-54, 1998.
-
(1998)
ICML
, pp. 46-54
-
-
Billsus, D.1
Pazzani, M.J.2
-
10
-
-
33749567580
-
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 UAI, pages 43-52, 1998.
-
(1998)
UAI
, pp. 43-52
-
-
Breese, J.S.1
Heckerman, D.2
Kadie, C.3
-
12
-
-
0005324161
-
Combining content-based and collaborative filters in an online newspaper
-
M. Claypool, A. Gokhale, T. Miranda, P. Murnikov, D. Netes, and M. Sartin. Combining content-based and collaborative filters in an online newspaper. In ACM SIGIR Workshop on Recommender Systems, 1999.
-
(1999)
ACM SIGIR Workshop on Recommender Systems
-
-
Claypool, M.1
Gokhale, A.2
Miranda, T.3
Murnikov, P.4
Netes, D.5
Sartin, M.6
-
13
-
-
33749236093
-
Collaborative prediction using ensembles of maximum margin matrix f actorization
-
D. DeCoste. Collaborative prediction using ensembles of maximum margin matrix f actorization. In ICML, 2006.
-
(2006)
ICML
-
-
DeCoste, D.1
-
14
-
-
0002549585
-
Eigentaste: A constant time collaborative filtering algorithm
-
K. Goldberg, T. Roeder, D. Gupta, and C. Perkins. Eigentaste: A constant time collaborative filtering algorithm. Information Retrieval, 4(2):133-151, 2001.
-
(2001)
Information Retrieval
, vol.4
, Issue.2
, pp. 133-151
-
-
Goldberg, K.1
Roeder, T.2
Gupta, D.3
Perkins, C.4
-
15
-
-
0032596552
-
Combining collaborative filtering with personal agents for better recommendations
-
N. Good, J. B. Schafer, J. A. Konstan, A. Borchers, B. M. Sarwar, J. L. Herlocker, and J. Riedl. Combining collaborative filtering with personal agents for better recommendations. In AAAI/IAAI, pages 439-446, 1999.
-
(1999)
AAAI/IAAI
, pp. 439-446
-
-
Good, N.1
Schafer, J.B.2
Konstan, J.A.3
Borchers, A.4
Sarwar, B.M.5
Herlocker, J.L.6
Riedl, J.7
-
16
-
-
0002740439
-
Parafac2: Mathematical and technical notes
-
R. A. Harshman. Parafac2: Mathematical and technical notes. UCLA working papers in phonetics, 22:30044, 1972.
-
(1972)
UCLA working papers in phonetics
, vol.22
, pp. 30044
-
-
Harshman, R.A.1
-
18
-
-
85015559680
-
An algorithmic framework for performing collaborative filtering
-
J. L. Herlocker, J. A. Konstan, A. Borchers, and J. Riedl. An algorithmic framework for performing collaborative filtering. In ACM SIGIR, pages 230-237, 1999.
-
(1999)
ACM SIGIR
, pp. 230-237
-
-
Herlocker, J.L.1
Konstan, J.A.2
Borchers, A.3
Riedl, J.4
-
19
-
-
84862271600
-
Latent class models for collaborative filtering
-
T. Hofmann and J. Puzicha. Latent class models for collaborative filtering. In IJCAI, pages 688-693, 1999.
-
(1999)
IJCAI
, pp. 688-693
-
-
Hofmann, T.1
Puzicha, J.2
-
21
-
-
72249120789
-
Vibes: A platform-centric approach to building recommender systems
-
B. Nag. Vibes: A platform-centric approach to building recommender systems. IEEE Data Eng. Bull., 31(2):23-31, 2008.
-
(2008)
IEEE Data Eng. Bull
, vol.31
, Issue.2
, pp. 23-31
-
-
Nag, B.1
-
22
-
-
36749028922
-
A tensor higher-order singular value decomposition for integrative analysis of dna microarray data from different studies
-
L. Omberg, G. H. Golub, and O. Alter. A tensor higher-order singular value decomposition for integrative analysis of dna microarray data from different studies. PNAS, 104(47):18371-18376, 2007.
-
(2007)
PNAS
, vol.104
, Issue.47
, pp. 18371-18376
-
-
Omberg, L.1
Golub, G.H.2
Alter, O.3
-
23
-
-
60949111976
-
Learning to rank with pairwise regularized least-squares
-
T. Pahikkala, E. Tsivtsivadze, A. Airola, T. Boberg, and T. Salakoski. Learning to rank with pairwise regularized least-squares. In SIGIR 2007 Workshop on Learning to Rank for Information Retrieval, pages 27-33, 2007.
-
(2007)
SIGIR 2007 Workshop on Learning to Rank for Information Retrieval
, pp. 27-33
-
-
Pahikkala, T.1
Tsivtsivadze, E.2
Airola, A.3
Boberg, T.4
Salakoski, T.5
-
24
-
-
33749578362
-
-
S.-T. Park, D. M. Pennock, O. Madani, N. Good, and D. DeCoste. Naïve filterbots for robust cold-start recommendations. In KDD, 2006.
-
S.-T. Park, D. M. Pennock, O. Madani, N. Good, and D. DeCoste. Naïve filterbots for robust cold-start recommendations. In KDD, 2006.
-
-
-
-
25
-
-
0033325071
-
A framework for collaborative, content-based and demographic filtering
-
M. J. Pazzani. A framework for collaborative, content-based and demographic filtering. Artificial Intelligence Review, 13(5-6):393-408, 1999.
-
(1999)
Artificial Intelligence Review
, vol.13
, Issue.5-6
, pp. 393-408
-
-
Pazzani, M.J.1
-
26
-
-
0001391984
-
Collaborative filtering by personality diagnosis: A hybrid memory- and model-based approach
-
D. Pennock, E. Horvitz, S. Lawrence, and C. L. Giles. Collaborative filtering by personality diagnosis: A hybrid memory- and model-based approach. In UAI, pages 473-480, 2000.
-
(2000)
UAI
, pp. 473-480
-
-
Pennock, D.1
Horvitz, E.2
Lawrence, S.3
Giles, C.L.4
-
28
-
-
85052617391
-
Item-based collaborative filtering recommendation algorithms
-
B. M. Sarwar, G. Karypis, J. A. Konstan, and J. Reidl. Item-based collaborative filtering recommendation algorithms. In WWW, pages 285-295, 2001.
-
(2001)
, pp. 285-295
-
-
Sarwar, B.M.1
Karypis, G.2
Konstan, J.A.3
Reidl, J.4
-
33
-
-
0013953617
-
Some mathematical notes on three-mode factor analysis
-
L. R. Tucker. Some mathematical notes on three-mode factor analysis. Psychometrika, 31:279-311, 1966.
-
(1966)
Psychometrika
, vol.31
, pp. 279-311
-
-
Tucker, L.R.1
-
35
-
-
84885578920
-
Scalable collaborative filtering using cluster-based smoothing
-
G. Xue, C. Lin, Q. Yang, W. Xi, H. Zeng, Y. Yu, and Z. Chen. Scalable collaborative filtering using cluster-based smoothing. In SIGIR, 2005.
-
(2005)
SIGIR
-
-
Xue, G.1
Lin, C.2
Yang, Q.3
Xi, W.4
Zeng, H.5
Yu, Y.6
Chen, Z.7
-
36
-
-
18744362180
-
Taxonomy-driven computation of product recommendations
-
C. Ziegler, G. Lausen, and L. Schmidt. Taxonomy-driven computation of product recommendations. In CIKM, 2004.
-
(2004)
CIKM
-
-
Ziegler, C.1
Lausen, G.2
Schmidt, L.3
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