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Collaborative filtering with maximum entropy
As users navigate through online document collections on high-volume Web servers, they depend on good recommendations. We present a novel maximum-entropy algorithm for generating accurate recommendations and a data-clustering approach for speeding up model training. Recommender systems attempt to au...
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| Published in: | IEEE intelligent systems 2004-11, Vol.19 (6), p.40-47 |
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| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
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| cited_by | cdi_FETCH-LOGICAL-c380t-7749eacfd2b7c9909e96592132c1047e2c902c2b1caf1310c16de1435f49a51b3 |
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| cites | cdi_FETCH-LOGICAL-c380t-7749eacfd2b7c9909e96592132c1047e2c902c2b1caf1310c16de1435f49a51b3 |
| container_end_page | 47 |
| container_issue | 6 |
| container_start_page | 40 |
| container_title | IEEE intelligent systems |
| container_volume | 19 |
| creator | Pavlov, D. Manavoglu, E. Giles, C.L. Pennock, D.M. |
| description | As users navigate through online document collections on high-volume Web servers, they depend on good recommendations. We present a novel maximum-entropy algorithm for generating accurate recommendations and a data-clustering approach for speeding up model training. Recommender systems attempt to automate the process of "word of mouth" recommendations within a community. Typical application environments such as online shops and search engines have many dynamic aspects. |
| doi_str_mv | 10.1109/MIS.2004.59 |
| format | article |
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| fulltext | fulltext |
| identifier | ISSN: 1541-1672 |
| ispartof | IEEE intelligent systems, 2004-11, Vol.19 (6), p.40-47 |
| issn | 1541-1672 1941-1294 |
| language | eng |
| recordid | cdi_proquest_journals_207649762 |
| source | Library & Information Science Abstracts (LISA); IEEE Electronic Library (IEL) Journals |
| subjects | Algorithms Bayesian methods Collaboration Collaborative work Collection Communities Computer science Context modeling Dynamical systems Dynamics Entropy Filtering History Maximum entropy maximum entropy model mixture models Navigation On-line systems Online recommender systems Search engines sequence modeling |
| title | Collaborative filtering with maximum entropy |
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