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 paper describes a new recommender system, which employs a genetic algorithm to learn personal preferences of users and provide tailored suggestions. |
Year | Venue | Keywords |
---|---|---|
2002 | GECCO Late Breaking Papers | recommender system,genetic algorithm |
Field | DocType | Citations |
World Wide Web,Computer science | Conference | 0 |
PageRank | References | Authors |
0.34 | 6 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Supiya Ujjin | 1 | 23 | 4.59 |
Peter J. Bentley | 2 | 963 | 113.11 |