-
1
-
-
63449109580
-
-
url
-
CourseRank: url:http://courserank.stanford.edu.
-
CourseRank
-
-
-
2
-
-
67649651381
-
-
url
-
The Stanford Daily: url: http://stanforddaily.com/article/2007/12/5/- editorialcourserankalongoverduesuccess.
-
The Stanford Daily
-
-
-
3
-
-
34250016241
-
New recommendation techniques for multi-criteria rating systems
-
G. Adomavicius and Y. Kwon. New recommendation techniques for multi-criteria rating systems. IEEE Intelligent Systems, 22(3), 2007.
-
(2007)
IEEE Intelligent Systems
, vol.22
, Issue.3
-
-
Adomavicius, G.1
Kwon, Y.2
-
4
-
-
13844263560
-
Multidimensional recommender systems: A data warehousing approach
-
G. Adomavicius and A. Tuzhilin. Multidimensional recommender systems: A data warehousing approach. In WELCOM, 2001.
-
(2001)
WELCOM
-
-
Adomavicius, G.1
Tuzhilin, A.2
-
5
-
-
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
-
6
-
-
0031103679
-
Fab: Content-based, collaborative recommendation
-
M. Balabanovic and Y. Shoham. Fab: Content-based, collaborative recommendation. C. of ACM, 40(3):66-72, 1997.
-
(1997)
C. of ACM
, vol.40
, Issue.3
, pp. 66-72
-
-
Balabanovic, M.1
Shoham, Y.2
-
8
-
-
0002731035
-
Learning collaborative information filters
-
D. Billsus and M. Pazzani. Learning collaborative information filters. In ICML, 1998.
-
(1998)
ICML
-
-
Billsus, D.1
Pazzani, M.2
-
11
-
-
35348914807
-
Google news personalization: Scalable online collaborative filtering
-
A. Das, M. Datar, A. Garg, and S. Rajaram. Google news personalization: scalable online collaborative filtering. In WWW, pages 271-280, 2007.
-
(2007)
, pp. 271-280
-
-
Das, A.1
Datar, M.2
Garg, A.3
Rajaram, S.4
-
12
-
-
84976668719
-
Using collaborative filtering to weave an information tapestry
-
D. Goldberg, D. Nichols, B. Oki, and D. Terry. Using collaborative filtering to weave an information tapestry. C. of ACM, 35(12):61-70, 1992.
-
(1992)
C. of ACM
, vol.35
, Issue.12
, pp. 61-70
-
-
Goldberg, D.1
Nichols, D.2
Oki, B.3
Terry, D.4
-
14
-
-
3042697346
-
Evaluating collaborative filtering recommender systems
-
J. Herlocker, J. Konstan, L. Terveen, and J. Riedl. Evaluating collaborative filtering recommender systems. TOIS, 22:5-53, 2004.
-
(2004)
TOIS
, vol.22
, pp. 5-53
-
-
Herlocker, J.1
Konstan, J.2
Terveen, L.3
Riedl, J.4
-
15
-
-
1542377533
-
Collaborative filtering via gaussian probabilistic latent semantic analysis
-
T. Hofmann. Collaborative filtering via gaussian probabilistic latent semantic analysis. In ACM SIGIR Conf., 2003.
-
(2003)
ACM SIGIR Conf
-
-
Hofmann, T.1
-
16
-
-
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, Jan/Feb 2003.
-
(2003)
IEEE Internet Computing
-
-
Linden, G.1
Smith, B.2
York, J.3
-
17
-
-
10944236856
-
Collaborative recommendation: A robustness analysis
-
M. O. Mahony, N. Hurley, N. Kushmerick, and G. Silvestre. Collaborative recommendation: A robustness analysis. ACM Transactions on Internet Technology, 4(4):344-377, 2004.
-
(2004)
ACM Transactions on Internet Technology
, vol.4
, Issue.4
, pp. 344-377
-
-
Mahony, M.O.1
Hurley, N.2
Kushmerick, N.3
Silvestre, G.4
-
18
-
-
0038043803
-
Movielens unplugged: Experiences with an occasionally connected recommender system
-
B. Miller, I. Albert, S. Lam, J. Konstan, and J. Riedl. Movielens unplugged: Experiences with an occasionally connected recommender system. In Intl. Conf. Intelligent User Interfaces, 2003.
-
(2003)
Intl. Conf. Intelligent User Interfaces
-
-
Miller, B.1
Albert, I.2
Lam, S.3
Konstan, J.4
Riedl, J.5
-
19
-
-
0031168547
-
Learning and revising user profiles: The identification of interesting web sites
-
M. Pazzani and D. Billsus. Learning and revising user profiles: The identification of interesting web sites. Machine Learning, 27:313-331, 1997.
-
(1997)
Machine Learning
, vol.27
, pp. 313-331
-
-
Pazzani, M.1
Billsus, D.2
-
20
-
-
85030174634
-
Grouplens: An open architecture for collaborative filtering of netnews
-
P. Resnick, N. Iakovou, M. Sushak, P. Bergstrom, and J. Riedl. Grouplens: An open architecture for collaborative filtering of netnews. In Conf. on Computer Supported Cooperative Work, 1994.
-
(1994)
Conf. on Computer Supported Cooperative Work
-
-
Resnick, P.1
Iakovou, N.2
Sushak, M.3
Bergstrom, P.4
Riedl, J.5
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