Referenced Items are not available for this document.
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.
Published in:
Intelligent Systems, IEEE
(Volume:19
,
Issue:
6
)
Date of Publication: Nov.-Dec. 2004
- Page(s):
- 40 - 47
- ISSN :
- 1541-1672
- INSPEC Accession Number:
- 8224759
- Digital Object Identifier :
- 10.1109/MIS.2004.59
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 02 May 2005
- Issue Date :
- Nov.-Dec. 2004
- Sponsored by :
- IEEE Computer Society
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