Internet Recommendation Systems
Abstract
Several online firms, including Yahoo!, Amazon.com , and Movie Critic, recommend documents and products to consumers. Typically, the recommendations are based on content and/or collaborative filtering methods. The authors examine the merits of these methods, suggest that preference models used in marketing offer good alternatives, and describe a Bayesian preference model that allows statistical integration of five types of information useful for...
Paper Details
Title
Internet Recommendation Systems
Published Date
Aug 1, 2000
Volume
37
Issue
3
Pages
363 - 375
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