Name
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 | good recommendations,genetic algorithm,recommender system |
Field | DocType | ISBN |
Recommender system,World Wide Web,Computer science,Entertainment,Software,The Internet | Conference | 1-55860-878-8 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Supiya Ujjin | 1 | 23 | 4.59 |
| Peter J. Bentley | 2 | 963 | 113.11 |