-
1
-
-
0037699443
-
Is seeing believing?; how recommender system interfaces affect users' opinions
-
D. Cosley, S. Lam, I. Albert, J. Konstan, and J. Riedl. Is seeing believing?; how recommender system interfaces affect users' opinions. Proc. of the Annual SIGCHI Conf., pages 585-592, 2003.
-
(2003)
Proc. of the Annual SIGCHI Conf
, pp. 585-592
-
-
Cosley, D.1
Lam, S.2
Albert, I.3
Konstan, J.4
Riedl, J.5
-
2
-
-
3042821101
-
Item-based top-N recommendation algorithms
-
M. Deshpande and G. Karypis. Item-based top-N recommendation algorithms. ACM TOIS, 22(1):143-177, 2004.
-
(2004)
ACM TOIS
, vol.22
, Issue.1
, pp. 143-177
-
-
Deshpande, M.1
Karypis, G.2
-
4
-
-
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
-
5
-
-
3042697346
-
Evaluating collaborative filtering recommender systems
-
J. Herlocker, J. Konstan, L. Terveen, and J. Riedl. Evaluating collaborative filtering recommender systems. ACM TOIS, 22(1):5-53, 2004.
-
(2004)
ACM TOIS
, vol.22
, Issue.1
, pp. 5-53
-
-
Herlocker, J.1
Konstan, J.2
Terveen, L.3
Riedl, J.4
-
6
-
-
17844390666
-
Collaborative filtering based on iterative principal component analysis
-
D. Kim and B. Yum. Collaborative filtering based on iterative principal component analysis. Expert Systems with Applications, 28(4):823-830, 2005.
-
(2005)
Expert Systems with Applications
, vol.28
, Issue.4
, pp. 823-830
-
-
Kim, D.1
Yum, B.2
-
7
-
-
33750725695
-
Lessons on Applying Automated Recommender Systems to Information-Seeking Tasks
-
J. Konstan, S. McNee, C. Ziegler, R. Torres, N. Kapoor, and J. Riedl. Lessons on Applying Automated Recommender Systems to Information-Seeking Tasks. Proceedings of the Twenty-First National Conference on Artificial Intelligence, 2006.
-
(2006)
Proceedings of the Twenty-First National Conference on Artificial Intelligence
-
-
Konstan, J.1
McNee, S.2
Ziegler, C.3
Torres, R.4
Kapoor, N.5
Riedl, J.6
-
8
-
-
22044443560
-
Scale and translation invariant collaborative filtering systems
-
D. Lemire. Scale and translation invariant collaborative filtering systems. Information Retrieval, 8(1):129-150, 2005.
-
(2005)
Information Retrieval
, vol.8
, Issue.1
, pp. 129-150
-
-
Lemire, D.1
-
9
-
-
0037252945
-
Amazon.com recommendations: Item-to-item collaborative filtering
-
G. Linden, B. Smith, and J. York. Amazon.com recommendations: item-to-item collaborative filtering. IEEE Internet Computing, 7(1):76-80, 2003.
-
(2003)
IEEE Internet Computing
, vol.7
, Issue.1
, pp. 76-80
-
-
Linden, G.1
Smith, B.2
York, J.3
-
10
-
-
33749578362
-
Naïve filterbots for robust cold-start recommendations
-
S. Park, D. Pennock, O. Madani, N. Good, and D. DeCoste. Naïve filterbots for robust cold-start recommendations. Proc. of the 12th ACM SIGKDD Int'l Conf., pages 699-705, 2006.
-
(2006)
Proc. of the 12th ACM SIGKDD Int'l Conf
, pp. 699-705
-
-
Park, S.1
Pennock, D.2
Madani, O.3
Good, N.4
DeCoste, D.5
-
11
-
-
0001391984
-
Collaborative filtering by personality diagnosis: A hybrid memory and model-based approach
-
D. Pennock, E. Horvitz, S. Lawrence, and C. Giles. Collaborative filtering by personality diagnosis: a hybrid memory and model-based approach. Proc. of the 16th Conf. on Uncertainty in Artificial Intelligence, pages 473-480, 2000.
-
(2000)
Proc. of the 16th Conf. on Uncertainty in Artificial Intelligence
, pp. 473-480
-
-
Pennock, D.1
Horvitz, E.2
Lawrence, S.3
Giles, C.4
-
12
-
-
38849088174
-
Improving accuracy of recommender system by clustering items based on stability of user similarity
-
T. Quan, I. Fuyuki, and H. Shinichi. Improving accuracy of recommender system by clustering items based on stability of user similarity. IAWTIC'2006 Proc., pages 61-61, 2006.
-
(2006)
IAWTIC'2006 Proc
, pp. 61-61
-
-
Quan, T.1
Fuyuki, I.2
Shinichi, H.3
-
13
-
-
0036384150
-
Getting to know you: Learning new user preferences in recommender systems
-
A. Rashid, I. Albert, D. Cosley, S. Lam, S. McNee, J. Konstan, and J. Riedl. Getting to know you: learning new user preferences in recommender systems. Proc. of the 7th Int'l Conf. on Intelligent User Interfaces, pages 127-134, 2002.
-
(2002)
Proc. of the 7th Int'l Conf. on Intelligent User Interfaces
, pp. 127-134
-
-
Rashid, A.1
Albert, I.2
Cosley, D.3
Lam, S.4
McNee, S.5
Konstan, J.6
Riedl, J.7
-
15
-
-
0036989477
-
Methods and metrics for cold-start recommendations
-
A. Schein, A. Popescul, L. Ungar, and D. Pennock. Methods and metrics for cold-start recommendations. Proc. of the 25th Annual Int'l ACM SIGIR Conf., pages 253-260, 2002.
-
(2002)
Proc. of the 25th Annual Int'l ACM SIGIR Conf
, pp. 253-260
-
-
Schein, A.1
Popescul, A.2
Ungar, L.3
Pennock, D.4
-
16
-
-
42149146508
-
-
J. Thornton. Collaborative filtering research papers
-
J. Thornton. Collaborative filtering research papers.
-
-
-
-
17
-
-
28244470281
-
On the combination of user-based and item-based collaborative filtering
-
M. Vozalis and K. Margaritis. On the combination of user-based and item-based collaborative filtering. International Journal of Computer Mathematics, 81(9):1077-1096, 2004.
-
(2004)
International Journal of Computer Mathematics
, vol.81
, Issue.9
, pp. 1077-1096
-
-
Vozalis, M.1
Margaritis, K.2
-
18
-
-
33750345680
-
Unifying user-based and item-based collaborative filtering approaches by similarity fusion
-
J. Wang, A. de Vries, and M. Reinders. Unifying user-based and item-based collaborative filtering approaches by similarity fusion. Proc. of the 29th Annual Int'l ACM SIGIR Conf., pages 501-508, 2006.
-
(2006)
Proc. of the 29th Annual Int'l ACM SIGIR Conf
, pp. 501-508
-
-
Wang, J.1
de Vries, A.2
Reinders, M.3
-
19
-
-
0141499253
-
Sparsity reduction in collaborative recommendation: A case-based approach
-
D. Wilson, B. Smyth, and D. Sullivan. Sparsity reduction in collaborative recommendation: a case-based approach. Int'l Journal of Pattern Recognition and Artificial Intelligence, 17(5):863-884, 2003.
-
(2003)
Int'l Journal of Pattern Recognition and Artificial Intelligence
, vol.17
, Issue.5
, pp. 863-884
-
-
Wilson, D.1
Smyth, B.2
Sullivan, D.3
-
20
-
-
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. Proc. of the 28th Annual Int'l ACM SIGIR Conf., pages 114-121, 2005.
-
(2005)
Proc. of the 28th Annual Int'l ACM SIGIR Conf
, pp. 114-121
-
-
Xue, G.1
Lin, C.2
Yang, Q.3
Xi, W.4
Zeng, H.5
Yu, Y.6
Chen, Z.7
-
21
-
-
33645657113
-
Improving recommendation lists through topic diversification
-
C. Ziegler, S. McNee, J. Konstan, and G. Lausen. Improving recommendation lists through topic diversification. Proceedings of the 14th international conference on World Wide Web, pages 22-32, 2005.
-
(2005)
Proceedings of the 14th international conference on World Wide Web
, pp. 22-32
-
-
Ziegler, C.1
McNee, S.2
Konstan, J.3
Lausen, G.4
|