Name
Abstract | ||
|---|---|---|
To help address pressing problems with information overload, researchers have developed personal agents to provide assistance to users in navigating the Web. To provide suggestions, such agents rely on user profiles representing interests and preferences, which makes acquiring and modeling interest categories a critical component in their design. Existing profiling approaches have only partially tackled the characteristics that distinguish user profiling from related tasks.The authors' technique generates readable user profiles that accurately capture interests, starting from observations of user behavior on the Web. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/MIC.2005.90 | IEEE Internet Computing |
Keywords | Field | DocType |
personal agent,related task,critical component,user profile,readable user profile,profiling approach,web page filtering,user profiling,user behavior,interest category,information overload,agents,intelligent agents,intelligent agent,web pages,information needs,internet,personalization,software agents | World Wide Web,Information overload,User assistance,Web page,Profiling (computer programming),Computer science,Software agent,User modeling,The Internet,Personalization | Journal |
Volume | Issue | ISSN |
9 | 4 | 1089-7801 |
Citations | PageRank | References |
29 | 1.45 | 11 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniela Godoy | 1 | 502 | 38.22 |
| Analia Amandi | 2 | 255 | 13.43 |