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 Ujjin | 1 | 23 | 4.59 |
Peter J. Bentley | 2 | 963 | 113.11 |
Peter J. Bentley | 3 | 963 | 113.11 |