-
1
-
-
20844435854
-
Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions
-
Adomavicius, G., Tuzhilin, A.: 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
-
2
-
-
0012646927
-
Adaptive interfaces for ubiquitous web access
-
Billsus, D., Brunk, C.A., Evans, C., Gladish, B., Pazzani, M.: Adaptive interfaces for ubiquitous web access. Communication of the ACM 45(5), 34–38 (2002)
-
(2002)
Communication of the ACM
, vol.45
, Issue.5
, pp. 34-38
-
-
Billsus, D.1
Brunk, C.A.2
Evans, C.3
Gladish, B.4
Pazzani, M.5
-
3
-
-
0037252945
-
Amazon.com Recommendations: Item-to-Item Collaborative Filtering
-
Linden, G., Smith, B., York, J.: 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
-
5
-
-
3042742744
-
Latent semantic models for collaborative filtering
-
Hofmann, T.: Latent semantic models for collaborative filtering. ACM Transactions on Information Systems 22(1), 89–115 (2004)
-
(2004)
ACM Transactions on Information Systems
, vol.22
, Issue.1
, pp. 89-115
-
-
Hofmann, T.1
-
8
-
-
77955644905
-
Factor in the Neighbors: Scalable and Accurate Collaborative Filtering
-
Koren, Y.: Factor in the Neighbors: Scalable and Accurate Collaborative Filtering. ACM Trans. Knowl. Discov. Data, 4(1), 1:1–1:24 (2010)
-
(2010)
ACM Trans. Knowl. Discov. Data
, vol.4
, Issue.1
, pp. 1-24
-
-
Koren, Y.1
-
9
-
-
81055135842
-
A Comprehensive Survey of Neighborhood-based Recommendation Methods
-
Desrosiers, C., Karypis, G.: A Comprehensive Survey of Neighborhood-based Recommendation Methods. In: Recommender Systems Handbook, pp. 107–144 (2011)
-
(2011)
Recommender Systems Handbook
, pp. 107-144
-
-
Desrosiers, C.1
Karypis, G.2
-
10
-
-
73749086533
-
Collaborative filtering based on collaborative tagging for enhancing the quality of recommendation
-
Kim, H.N., Ji, A.T., Ha, I., Jo, G.S.: Collaborative filtering based on collaborative tagging for enhancing the quality of recommendation. Electronic Commerce Research and Applications 9(1), 73–83 (2010)
-
(2010)
Electronic Commerce Research and Applications
, vol.9
, Issue.1
, pp. 73-83
-
-
Kim, H.N.1
Ji, A.T.2
Ha, I.3
Jo, G.S.4
-
11
-
-
67650527543
-
Identifying similar users by their scientific publications to reduce cold start in recommender systems
-
Loh, S., Lorenzi, F., Granada, R., Lichtnow, D., Wives, L.K., de Oliveira, J.P.M.: Identifying similar users by their scientific publications to reduce cold start in recommender systems. In: Proceedings of the 5th International Conference onWeb Information Systems and Technologies (WEBIST 2009), pp. 593–600 (2009)
-
(2009)
Proceedings of the 5th International Conference onWeb Information Systems and Technologies (WEBIST 2009)
, pp. 593-600
-
-
Loh, S.1
Lorenzi, F.2
Granada, R.3
Lichtnow, D.4
Wives, L.K.5
De Oliveira, J.P.M.6
-
12
-
-
34948850364
-
A new similarity measure for collaborative filtering to alleviate the new user coldstarting problem
-
Ahn, H.J.: A new similarity measure for collaborative filtering to alleviate the new user coldstarting problem. Inf. Sci. 178(1), 37–51 (2008)
-
(2008)
Inf. Sci
, vol.178
, Issue.1
, pp. 37-51
-
-
Ahn, H.J.1
-
13
-
-
79955926419
-
Collaborative error-reflected models for cold-start recommender systems
-
Kim, H.N., El-Saddik, A., Jo, G.: Collaborative error-reflected models for cold-start recommender systems. Decision Support Systems 51(3), 519–531 (2011)
-
(2011)
Decision Support Systems
, vol.51
, Issue.3
, pp. 519-531
-
-
Kim, H.N.1
El-Saddik, A.2
Jo, G.3
-
14
-
-
84155181004
-
A collaborative filtering approach to mitigate the new user cold start problem
-
Bobadilla, J., Ortega, F., Hernando, A., Bernal, J.: A collaborative filtering approach to mitigate the new user cold start problem. Know.-Based Syst. 26, 225–238 (2012)
-
(2012)
Know.-Based Syst
, vol.26
, pp. 225-238
-
-
Bobadilla, J.1
Ortega, F.2
Hernando, A.3
Bernal, J.4
-
15
-
-
0002215069
-
On A Measure of Divergence Between Two Statistical Populations Defined by their Probability Distributions
-
Bhattacharyya, A.: On A Measure of Divergence Between Two Statistical Populations Defined by their Probability Distributions. Bulletin of Calcutta Mathematical Society 35(1), 99–109 (1943)
-
(1943)
Bulletin of Calcutta Mathematical Society
, vol.35
, Issue.1
, pp. 99-109
-
-
Bhattacharyya, A.1
-
16
-
-
85015559680
-
An algorithmic framework for performing collaborative filtering
-
SIGIR 1999
-
Herlocker, J.L., Konstan, J.A., Borchers, A., Riedl, J.: An algorithmic framework for performing collaborative filtering. In: Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 1999, pp. 230–237 (1999)
-
(1999)
Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
, pp. 230-237
-
-
Herlocker, J.L.1
Konstan, J.A.2
Borchers, A.3
Riedl, J.4
-
17
-
-
33749578362
-
Naive filterbots for robust coldstart recommendations
-
Park, S.T., Pennock, D., Madani, O., Good, N., DeCoste, D.: Naive filterbots for robust coldstart recommendations. In: Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2006, pp. 699–705 (2006)
-
(2006)
Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2006
, pp. 699-705
-
-
Park, S.T.1
Pennock, D.2
Madani, O.3
Good, N.4
Decoste, D.5
-
18
-
-
65249157560
-
The Divergence and Bhattacharyya Distance Measures in Signal Selection
-
Kailath, T.: The Divergence and Bhattacharyya Distance Measures in Signal Selection. IEEE Transactions on Communication Technology 15(1), 52–60 (1967)
-
(1967)
IEEE Transactions on Communication Technology
, vol.15
, Issue.1
, pp. 52-60
-
-
Kailath, T.1
-
19
-
-
0033682434
-
Real-Time Tracking of Non-Rigid Objects Using Mean Shift
-
Comaniciu, D., Ramesh, V., Meer, P.: Real-Time Tracking of Non-Rigid Objects Using Mean Shift. In: Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR 2000), pp. 2142–2149 (2000)
-
(2000)
Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR 2000)
, pp. 2142-2149
-
-
Comaniciu, D.1
Ramesh, V.2
Meer, P.3
-
21
-
-
85132303221
-
Feature weighting and instance selection for collaborative filtering: An information-theoretic approach
-
Yu, K., Xu, X., Ester, M., Kriegel, H.P.: Feature weighting and instance selection for collaborative filtering: An information-theoretic approach. Knowledge and Information Systems 5(2), 201–224 (2003)
-
(2003)
Knowledge and Information Systems
, vol.5
, Issue.2
, pp. 201-224
-
-
Yu, K.1
Xu, X.2
Ester, M.3
Kriegel, H.P.4
-
22
-
-
77955417387
-
A new collaborative filtering metric that improves the behavior of recommender systems
-
Bobadilla, J., Serradilla, F., Bernal, J.: A new collaborative filtering metric that improves the behavior of recommender systems. Knowl. -Based Syst. 23(6), 520–528 (2010)
-
(2010)
Knowl. -Based Syst
, vol.23
, Issue.6
, pp. 520-528
-
-
Bobadilla, J.1
Serradilla, F.2
Bernal, J.3
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