-
1
-
-
33845910904
-
Detecting profile injection attacks in collaborative recommender systems
-
Palo Alto, CA, June
-
R. Burke, B. Mobasher, C. Williams, and R. Bhaumik. Detecting profile injection attacks in collaborative recommender systems. In Proc. of the IEEE J. Conf. on E-Commerce Technology and Enterprise Computing (CEC/EEE 2006), Palo Alto, CA, June 2006.
-
(2006)
Proc. of the IEEE J. Conf. on E-Commerce Technology and Enterprise Computing (CEC/EEE 2006)
-
-
Burke, R.1
Mobasher, B.2
Williams, C.3
Bhaumik, R.4
-
2
-
-
0037699443
-
Is seeing believing? how recommender systems influence users' opinions
-
D. Cosley, S. K. Lam, I. Albert, J. Konstan, and J. Riedl. Is seeing believing? how recommender systems influence users' opinions. In Conf. on Human Factors in Computing Systems (CHI 2003), pages 585-592, 2003.
-
(2003)
Conf. on Human Factors in Computing Systems (CHI 2003)
, pp. 585-592
-
-
Cosley, D.1
Lam, S.K.2
Albert, I.3
Konstan, J.4
Riedl, J.5
-
3
-
-
85015559680
-
An algorithmic framework for performing collaborative filtering
-
Berkeley, CA, August
-
J. Herlocker, J. Konstan, A. Borchers, and J. Riedl. An algorithmic framework for performing collaborative filtering. In Proc. of the 22nd ACM Conf. on Research and Development in Information Retrieval (SIGIR'99), Berkeley, CA, August 1999.
-
(1999)
Proc. of the 22nd ACM Conf. on Research and Development in Information Retrieval (SIGIR'99)
-
-
Herlocker, J.1
Konstan, J.2
Borchers, A.3
Riedl, J.4
-
4
-
-
3042697346
-
Evaluating collaborative filtering recommender systems
-
J. Herlocker, J. Konstan, L. G. Tervin, and J. Riedl. Evaluating collaborative filtering recommender systems. ACM Trans. on Information Systems, 22(1):5-53, 2004.
-
(2004)
ACM Trans. on Information Systems
, vol.22
, Issue.1
, pp. 5-53
-
-
Herlocker, J.1
Konstan, J.2
Tervin, L.G.3
Riedl, J.4
-
5
-
-
70350647708
-
Collaborative filtering with temporal dynamics
-
New York, NY, USA, ACM
-
Y. Koren. Collaborative filtering with temporal dynamics. In KDD '09: Proc. of the 15th ACM Int. Conf. on Knowledge Discovery and Data Mining, pages 447-456, New York, NY, USA, 2009. ACM.
-
(2009)
KDD '09: Proc. of the 15th ACM Int. Conf. on Knowledge Discovery and Data Mining
, pp. 447-456
-
-
Koren, Y.1
-
6
-
-
72449185214
-
Temporal collaborative filtering with adaptive neighbourhoods
-
New York, NY, USA. ACM
-
N. Lathia, S. Hailes, and L. Capra. Temporal collaborative filtering with adaptive neighbourhoods. In SIGIR '09: Proc. of the 32nd Int. ACM Conf. on Research and Development in Information Retrieval, pages 796-797, New York, NY, USA, 2009. ACM.
-
(2009)
SIGIR '09: Proc. of the 32nd Int. ACM Conf. on Research and Development in Information Retrieval
, pp. 796-797
-
-
Lathia, N.1
Hailes, S.2
Capra, L.3
-
7
-
-
72249115124
-
A spatio-temporal approach to collaborative filtering
-
New York, NY, USA, ACM
-
Z. Lu, D. Agarwal, and I. S. Dhillon. A spatio-temporal approach to collaborative filtering. In RecSys '09: Proc. of the Third ACM Conf. on Recommender Systems, pages 13-20, New York, NY, USA, 2009. ACM.
-
(2009)
RecSys '09: Proc. of the Third ACM Conf. on Recommender Systems
, pp. 13-20
-
-
Lu, Z.1
Agarwal, D.2
Dhillon, I.S.3
-
8
-
-
35348969366
-
Towards trustworthy recommender systems: An analysis of attack models and algorithm robustness
-
B. Mobasher, R. Burke, R. Bhaumik, and C. Williams. Towards trustworthy recommender systems: An analysis of attack models and algorithm robustness. ACM Trans. On Internet Technology, 7(4), 2007.
-
(2007)
ACM Trans. on Internet Technology
, vol.7
, Issue.4
-
-
Mobasher, B.1
Burke, R.2
Bhaumik, R.3
Williams, C.4
-
9
-
-
34548718744
-
Scouts, promoters, and connectors: The roles of ratings in nearest-neighbor collaborative filtering
-
B. K. Mohan, B. J. Keller, and N. Ramakrishnan. Scouts, promoters, and connectors: The roles of ratings in nearest-neighbor collaborative filtering. ACM Trans. Web, 1(2):8, 2007.
-
(2007)
ACM Trans. Web
, vol.1
, Issue.2
, pp. 8
-
-
Mohan, B.K.1
Keller, B.J.2
Ramakrishnan, N.3
-
10
-
-
10944236856
-
Collaborative recommendation: A robustness analysis
-
M. O'Mahony, N. Hurley, N. Kushmerick, and G. Silvestre. Collaborative recommendation: A robustness analysis. ACM Trans. on Internet Technology, 4(4):344-377, 2004.
-
(2004)
ACM Trans. on Internet Technology
, vol.4
, Issue.4
, pp. 344-377
-
-
O'mahony, M.1
Hurley, N.2
Kushmerick, N.3
Silvestre, G.4
-
11
-
-
72249103222
-
Pairwise preference regression for cold-start recommendation
-
New York, NY, USA. ACM
-
S.-T. Park and W. Chu. Pairwise preference regression for cold-start recommendation. In RecSys '09: Proc. of the Third ACM conference on Recommender Systems, pages 21-28, New York, NY, USA, 2009. ACM.
-
(2009)
RecSys '09: Proc. of the Third ACM Conference on Recommender Systems
, pp. 21-28
-
-
Park, S.-T.1
Chu, W.2
-
12
-
-
42149166795
-
The influence limiter: Provably manipulation-resistant recommender systems
-
Minneapolis, October
-
P. Resnick and R. Sami. The influence limiter: provably manipulation-resistant recommender systems. In RecSys '07: Proc. of the 2007 ACM Conf. on Recommender Systems, pages 25-32, Minneapolis, October 2007.
-
(2007)
RecSys '07: Proc. of the 2007 ACM Conf. on Recommender Systems
, pp. 25-32
-
-
Resnick, P.1
Sami, R.2
-
13
-
-
85119665974
-
Analysis of recommender algorithms for e-commerce
-
Minneapolis, MN, October
-
B. M. Sarwar, G. Karypis, J. Konstan, and J. Riedl. Analysis of recommender algorithms for e-commerce. In Proceedings of the 2nd ACM E-Commerce Conference (EC'00), Minneapolis, MN, October 2000.
-
(2000)
Proceedings of the 2nd ACM E-Commerce Conference (EC'00)
-
-
Sarwar, B.M.1
Karypis, G.2
Konstan, J.3
Riedl, J.4
-
14
-
-
0036989477
-
Methods and metrics for cold-start recommendations
-
New York, NY, USA, ACM
-
A. I. Schein, A. Popescul, L. H. Ungar, and D. M. Pennock. Methods and metrics for cold-start recommendations. In SIGIR '02: Proc. of the 25th Int. ACM Conf. on Research and Development in Information Retrieval, pages 253-260, New York, NY, USA, 2002. ACM.
-
(2002)
SIGIR '02: Proc. of the 25th Int. ACM Conf. on Research and Development in Information Retrieval
, pp. 253-260
-
-
Schein, A.I.1
Popescul, A.2
Ungar, L.H.3
Pennock, D.M.4
|