Hybrid Recommender Systems: Survey and Experiments

Volume: 12, Issue: 4, Pages: 331 - 370
Published: Nov 4, 2002
Abstract
Recommender systems represent user preferences for the purpose of suggesting items to purchase or examine. They have become fundamental applications in electronic commerce and information access, providing suggestions that effectively prune large information spaces so that users are directed toward those items that best meet their needs and preferences. A variety of techniques have been proposed for performing recommendation, including...
Paper Details
Title
Hybrid Recommender Systems: Survey and Experiments
Published Date
Nov 4, 2002
Volume
12
Issue
4
Pages
331 - 370
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