Name
Title | ||
|---|---|---|
Collaborative Information Extraction for Adaptive Recommendations in a Multiagent Tourism Recommender System |
Abstract | ||
|---|---|---|
In this paper we present an agent-based add-on for the Social-Net Tourism Recommender System that uses information extraction and natural language processing techniques in order to automatically extract and classify information from the Web. Its goal is to maintain the system updated and obtain information about third parties services that are not offered by service providers inside the system. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-12384-9_5 | ADVANCES IN PRACTICAL APPLICATIONS OF AGENTS AND MULTIAGENT SYSTEMS |
Keywords | Field | DocType |
service provider,information extraction,recommender system,natural language processing | Recommender system,World Wide Web,Computer science,Tourism,Service provider,Information extraction | Conference |
Volume | ISSN | Citations |
70 | 1867-5662 | 2 |
PageRank | References | Authors |
0.37 | 9 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Victor Sanchez-Anguix | 1 | 102 | 14.87 |
| Sergio Esparcia | 2 | 17 | 4.95 |
| Estefania Argente | 3 | 309 | 21.40 |
| Ana García-fornes | 4 | 349 | 44.07 |
| Vicente Julián | 5 | 546 | 87.40 |