Name
Abstract | ||
|---|---|---|
Recommender systems face some problems On the one hand information needs to be maintained updated, which can result in a costly task if it is not performed automatically On the other hand, it may be interesting to include third party services in the recommendation since they improve its quality In this paper, we present an 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 party services that are not offered by service providers inside the system. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-13803-4_24 | HAIS (2) |
Keywords | Field | DocType |
natural language processing technique,recommender system,hand information,tourism recommender system,integrating information extraction agent,social-net tourism recommender system,service provider,party service,costly task,information extraction,recommender systems,information need,natural language processing | Recommender system,Management information systems,World Wide Web,Information needs,Information retrieval,Computer science,Tourism,Service provider,Third party,Information extraction,Information filtering system | Conference |
Volume | ISSN | ISBN |
6077 | 0302-9743 | 3-642-13802-0 |
Citations | PageRank | References |
5 | 0.68 | 9 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sergio Esparcia | 1 | 17 | 4.95 |
| Victor Sanchez-Anguix | 2 | 102 | 14.87 |
| Estefanía Argente | 3 | 26 | 2.38 |
| Ana García-fornes | 4 | 349 | 44.07 |
| Vicente Julián | 5 | 546 | 87.40 |