-
1
-
-
84874261331
-
Latent factor models with additive and hierarchically-smoothed user preferences
-
A. Ahmed, B. Kanagal, S. Pandey, V. Josifovski, L. G. Pueyo, and J. Yuan. Latent factor models with additive and hierarchically-smoothed user preferences. In WSDM, pages 385-394, 2013.
-
(2013)
WSDM
, pp. 385-394
-
-
Ahmed, A.1
Kanagal, B.2
Pandey, S.3
Josifovski, V.4
Pueyo, L.G.5
Yuan, J.6
-
2
-
-
84961648876
-
Buying or browsing?: An exploration of shopping orientations and online purchase intention
-
M. Brown, N. Pope, and K. Voges. Buying or browsing?: An exploration of shopping orientations and online purchase intention. European Journal of Marketing, 37(11/12):1666-1684, 2003.
-
(2003)
European Journal of Marketing
, vol.37
, Issue.11-12
, pp. 1666-1684
-
-
Brown, M.1
Pope, N.2
Voges, K.3
-
3
-
-
84863231708
-
The impact of comments and recommendation system on online shopper buying behaviour
-
H. Chen. The impact of comments and recommendation system on online shopper buying behaviour. JNW, 7(2):345-350, 2012.
-
(2012)
JNW
, vol.7
, Issue.2
, pp. 345-350
-
-
Chen, H.1
-
4
-
-
84897495349
-
General functional matrix factorization using gradient boosting
-
T. Chen, H. Li, Q. Yang, and Y. Yu. General functional matrix factorization using gradient boosting. In ICML, pages 436-444, 2013.
-
(2013)
ICML
, pp. 436-444
-
-
Chen, T.1
Li, H.2
Yang, Q.3
Yu, Y.4
-
5
-
-
67649933906
-
Blockbuster culture's next rise or fall: The impact of recommender systems on sales diversity
-
D. M. Fleder and K. Hosanagar. Blockbuster culture's next rise or fall: The impact of recommender systems on sales diversity. Management Science, 55(5):697-712, 2009.
-
(2009)
Management Science
, vol.55
, Issue.5
, pp. 697-712
-
-
Fleder, D.M.1
Hosanagar, K.2
-
6
-
-
33847172327
-
Clustering by passing messages between data points
-
B. J. Frey and D. Dueck. Clustering by passing messages between data points. Science, 315:972-976, 2007.
-
(2007)
Science
, vol.315
, pp. 972-976
-
-
Frey, B.J.1
Dueck, D.2
-
7
-
-
67049164166
-
Collaborative filtering for implicit feedback datasets
-
Y. Hu, Y. Koren, and C. Volinsky. Collaborative filtering for implicit feedback datasets. In ICDM, pages 263-272, 2008.
-
(2008)
ICDM
, pp. 263-272
-
-
Hu, Y.1
Koren, Y.2
Volinsky, C.3
-
8
-
-
84994171334
-
Chris anderson, the long tail: Why the future of business is selling less or more, hyperion, new york (2006) isbn 1-4013-0237-8 24.95
-
B. J. Jansen. Chris anderson, the long tail: Why the future of business is selling less or more, hyperion, new york (2006) isbn 1-4013-0237-8 24.95. Inf. Process. Manage., 43(4):1147-1148, 2007.
-
(2007)
Inf. Process. Manage.
, vol.43
, Issue.4
, pp. 1147-1148
-
-
Jansen, B.J.1
-
9
-
-
79952399179
-
Recommender systems with social regularization
-
H. Ma, D. Zhou, C. Liu, M. R. Lyu, and I. King. Recommender systems with social regularization. In Proceedings of the fourth ACM international conference on Web search and data mining, WSDM '11, pages 287-296, 2011.
-
(2011)
Proceedings of the Fourth ACM International Conference on Web Search and Data Mining, WSDM '11
, pp. 287-296
-
-
Ma, H.1
Zhou, D.2
Liu, C.3
Lyu, M.R.4
King, I.5
-
10
-
-
70350656339
-
Tangent: A novel 'surprise me', recommendation algorithm
-
K. Onuma, H. Tong, and C. Faloutsos. Tangent: a novel, 'surprise me', recommendation algorithm. In KDD, pages 657-666, 2009.
-
(2009)
KDD
, pp. 657-666
-
-
Onuma, K.1
Tong, H.2
Faloutsos, C.3
-
11
-
-
72249103222
-
Pairwise preference regression for cold-start recommendation
-
S.-T. Park and W. Chu. Pairwise preference regression for cold-start recommendation. In RecSys, pages 21-28, 2009.
-
(2009)
RecSys
, pp. 21-28
-
-
Park, S.-T.1
Chu, W.2
-
13
-
-
85071783077
-
Bayesian matrix factorization with side information and dirichlet process mixtures
-
I. Porteous, A. U. Asuncion, and M. Welling. Bayesian matrix factorization with side information and dirichlet process mixtures. In AAAI, 2010.
-
(2010)
AAAI
-
-
Porteous, I.1
Asuncion, A.U.2
Welling, M.3
-
14
-
-
0003653039
-
-
McGraw-Hill, Inc., New York, NY, USA
-
G. Salton and M. J. McGill. Introduction to Modern Information Retrieval. McGraw-Hill, Inc., New York, NY, USA, 1986.
-
(1986)
Introduction to Modern Information Retrieval
-
-
Salton, G.1
McGill, M.J.2
-
15
-
-
65449121541
-
Relational learning via collective matrix factorization
-
A. P. Singh and G. J. Gordon. Relational learning via collective matrix factorization. In KDD, pages 650-658, 2008.
-
(2008)
KDD
, pp. 650-658
-
-
Singh, A.P.1
Gordon, G.J.2
-
16
-
-
80052121603
-
Utilizing marginal net utility for recommendation in e-commerce
-
J. Wang and Y. Zhang. Utilizing marginal net utility for recommendation in e-commerce. In SIGIR, pages 1003-1012, 2011.
-
(2011)
SIGIR
, pp. 1003-1012
-
-
Wang, J.1
Zhang, Y.2
-
17
-
-
84883126835
-
Opportunity model for e-commerce recommendation: Right product; Right time
-
J. Wang and Y. Zhang. Opportunity model for e-commerce recommendation: right product; right time. In SIGIR, pages 303-312, 2013.
-
(2013)
SIGIR
, pp. 303-312
-
-
Wang, J.1
Zhang, Y.2
-
18
-
-
82555195650
-
Factorization vs. Regularization: Fusing heterogeneous social relationships in top-n recommendation
-
Q. Yuan, L. Chen, and S. Zhao. Factorization vs. regularization: fusing heterogeneous social relationships in top-n recommendation. In RecSys, pages 245-252, 2011.
-
(2011)
RecSys
, pp. 245-252
-
-
Yuan, Q.1
Chen, L.2
Zhao, S.3
-
19
-
-
84866634084
-
Increasing temporal diversity with purchase intervals
-
G. Zhao, M.-L. Lee, W. Hsu, and W. Chen. Increasing temporal diversity with purchase intervals. In SIGIR, pages 165-174, 2012.
-
(2012)
SIGIR
, pp. 165-174
-
-
Zhao, G.1
Lee, M.-L.2
Hsu, W.3
Chen, W.4
-
20
-
-
33645657113
-
Improving recommendation lists through topic diversification
-
C.-N. Ziegler, S. M. McNee, J. A. Konstan, and G. Lausen. Improving recommendation lists through topic diversification. In WWW, pages 22-32, 2005.
-
(2005)
WWW
, pp. 22-32
-
-
Ziegler, C.-N.1
McNee, S.M.2
Konstan, J.A.3
Lausen, G.4
|