-
1
-
-
0002051628
-
Empirical analysis of predictive algorithms for collaborative filtering
-
John S. Breese, David Heckerman, and Carl Kadie, ‘Empirical analysis of predictive algorithms for collaborative filtering’, in Proc. Conf. Uncertainty in Artificial Intelligence, pp. 43–52, (1998).
-
(1998)
Proc. Conf. Uncertainty in Artificial Intelligence
, pp. 43-52
-
-
Breese, J.S.1
Heckerman, D.2
Kadie, C.3
-
2
-
-
33847766633
-
Random-walk computation of similarities between nodes of a graph with application to collaborative recommendation
-
François Fouss, Alain Pirotte, Jean-Michel Renders, and Marco Saerens, ‘Random-walk computation of similarities between nodes of a graph with application to collaborative recommendation’, IEEE Transactions on Knowledge and Data Engineering, 19(3), 355–369, (2007).
-
(2007)
IEEE Transactions on Knowledge and Data Engineering
, vol.19
, Issue.3
, pp. 355-369
-
-
Fouss, F.1
Pirotte, A.2
Renders, J.-M.3
Saerens, M.4
-
3
-
-
40949158664
-
The application of new concepts of dissimilarities between nodes of a graph to collaborative filtering
-
François Fouss, Alain Pirotte, and Marco Saerens, ‘The application of new concepts of dissimilarities between nodes of a graph to collaborative filtering’, in Proc. Workshop on Statistical Approaches for Web Mining, pp. 26–37, (2004).
-
(2004)
Proc. Workshop on Statistical Approaches for Web Mining
, pp. 26-37
-
-
Fouss, F.1
Pirotte, A.2
Saerens, M.3
-
4
-
-
33748869142
-
A novel way of computing similarities between nodes of a graph, with application to collaborative recommendation
-
François Fouss, Alain Pirotte, and Marco Saerens, ‘A novel way of computing similarities between nodes of a graph, with application to collaborative recommendation’, in Proc. Int. Conf. on Web Intelligence, pp. 550–556, (2005).
-
(2005)
Proc. Int. Conf. on Web Intelligence
, pp. 550-556
-
-
Fouss, F.1
Pirotte, A.2
Saerens, M.3
-
5
-
-
84878078886
-
An experimental investigation of graph kernels on a collaborative recommendation task
-
François Fouss, Luh Yen, Alain Pirotte, and Marco Saerens, ‘An experimental investigation of graph kernels on a collaborative recommendation task’, in Proc. Int. Conf. on Data Mining, pp. 863–868, (2006).
-
(2006)
Proc. Int. Conf. on Data Mining
, pp. 863-868
-
-
Fouss, F.1
Yen, L.2
Pirotte, A.3
Saerens, M.4
-
6
-
-
85015559680
-
An algorithmic framework for performing collaborative filtering
-
Jonathan L. Herlocker, Joseph A. Konstan, Al Borchers, and John Riedl, ‘An algorithmic framework for performing collaborative filtering’, in Proc. Int. Conf. on Research and Development in Information Retrieval, pp. 230–237, (1999).
-
(1999)
Proc. Int. Conf. on Research and Development in Information Retrieval
, pp. 230-237
-
-
Herlocker, J.L.1
Konstan, J.A.2
Borchers, A.3
Riedl, J.4
-
7
-
-
3042697346
-
Evaluating collaborative filtering recommender systems
-
Jonathan L. Herlocker, Joseph A. Konstan, Loren G. Ter-veen, and John T. Riedl, ‘Evaluating collaborative filtering recommender systems’, ACM Trans. Inf. Syst., 22(1), 5–53, (2004).
-
(2004)
ACM Trans. Inf. Syst.
, vol.22
, Issue.1
, pp. 5-53
-
-
Herlocker, J.L.1
Konstan, J.A.2
Ter-Veen, L.G.3
Riedl, J.T.4
-
9
-
-
3042742744
-
Latent semantic models for collaborative filtering
-
Thomas Hofmann, ‘Latent semantic models for collaborative filtering’, ACM Trans. Inf. Syst., 22(1), 89–115, (2004).
-
(2004)
ACM Trans. Inf. Syst.
, vol.22
, Issue.1
, pp. 89-115
-
-
Hofmann, T.1
-
10
-
-
80051531169
-
Why does collaborative filtering work? – Recommendation model validation and selection by analyzing bipartite random graphs
-
Zan Huang and Daniel D. Zeng, ‘Why does collaborative filtering work? – recommendation model validation and selection by analyzing bipartite random graphs’, in Proc. Workshop of Information Technologies and Systems, (2005).
-
(2005)
Proc. Workshop of Information Technologies and Systems
-
-
Huang, Z.1
Zeng, D.D.2
-
11
-
-
21144484097
-
Resistance distance
-
D. J. Klein and M. Randić, ‘Resistance distance’, Journal of Mathematical Chemistry, 12(1), 81–95, (1993).
-
(1993)
Journal of Mathematical Chemistry
, vol.12
, Issue.1
, pp. 81-95
-
-
Klein, D.J.1
Randić, M.2
-
12
-
-
50149102434
-
Assessing the value of unrated items in collaborative filtering
-
Jérôme Kunegis, Andreas Lommatzsch, Martin Mehlitz, and Şahin Albayrak, ‘Assessing the value of unrated items in collaborative filtering’, in Proc. Int. Conf. on Digital Information Management, pp. 212–216, (2007).
-
(2007)
Proc. Int. Conf. on Digital Information Management
, pp. 212-216
-
-
Kunegis, J.1
Lommatzsch, A.2
Mehlitz, M.3
Albayrak, Ş.4
-
13
-
-
37249024765
-
Collaborative filtering using electrical resistance network models with negative edges
-
Springer-Verlag
-
Jérôme Kunegis and Stephan Schmidt, ‘Collaborative filtering using electrical resistance network models with negative edges’, in Proc. Industrial Conf. on Data Mining, pp. 269–282. Springer-Verlag, (2007).
-
(2007)
Proc. Industrial Conf. on Data Mining
, pp. 269-282
-
-
Kunegis, J.1
Schmidt, S.2
-
14
-
-
85030174634
-
GroupLens: An open architecture for collaborative filtering of netnews
-
P. Resnick, N. Iacovou, M. Suchak, P. Bergstorm, and J. Riedl, ‘GroupLens: An Open Architecture for Collaborative Filtering of Netnews’, in Proc. Conf. on Computer Supported Cooperative Work, pp. 175–186, (1994).
-
(1994)
Proc. Conf. on Computer Supported Cooperative Work
, pp. 175-186
-
-
Resnick, P.1
Iacovou, N.2
Suchak, M.3
Bergstorm, P.4
Riedl, J.5
-
15
-
-
0029179043
-
Social information filtering: Algorithms for automating “word of mouth
-
Upendra Shardanand and Patti Maes, ‘Social information filtering: Algorithms for automating “word of mouth”’, in Proc. Conf. on Human Factors in Computing Systems, volume 1, pp. 210–217, (1995).
-
(1995)
Proc. Conf. on Human Factors in Computing Systems
, vol.1
, pp. 210-217
-
-
Shardanand, U.1
Maes, P.2
-
17
-
-
0742286175
-
Probabilistic memory-based collaborative filtering
-
Kai Yu, Anton Schwaighofer, Volker Tresp, Xiaowei Xu, and Hans-Peter Kriegel, ‘Probabilistic memory-based collaborative filtering’, Trans. on Knowledge and Data Engineering, 16(1), 56–69, (2004).
-
(2004)
Trans. on Knowledge and Data Engineering
, vol.16
, Issue.1
, pp. 56-69
-
-
Yu, K.1
Schwaighofer, A.2
Tresp, V.3
Xu, X.4
Kriegel, H.-P.5
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