Title
Using evolution to learn user preferences
Abstract
Recommender systems are new types of internet-based software tools, designed to help users find their way through today's complex on-line shops and entertainment websites. This chapter describes a new recommender system, which employs a genetic algorithm to learn personal preferences of users and provide tailored suggestions.
Year
DOI
Venue
2002
10.1142/9789812561794_0002
RECENT ADVANCES IN SIMULATED EVOLUTION AND LEARNING
DocType
Volume
Citations 
Conference
2
1
PageRank 
References 
Authors
0.36
0
3
Name
Order
Citations
PageRank
Supiya Ujjin1234.59
Peter J. Bentley2963113.11
Peter J. Bentley3963113.11