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Multiagent Truth Maintenance Applied to a Tourism Recommender System
| Content Provider | Semantic Scholar |
|---|---|
| Author | Lorenzi, Fabiana |
| Copyright Year | 2017 |
| Abstract | The Internet is a rich source of information where users search for contents about products and services related to their interests and preferences. However, this has generated some problems. In fact, the overload of information may divert the users and ultimately make it very hard to locate the desired information (Maes, 1994). Moreover, the relevant data required is usually distributed over several repositories. In the tourism domain a variety of services can be recommended such as restaurants, places to visit, better opportunities of accommodation, AbstrAct |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.igi-global.com/viewtitlesample.aspx?id=37759&ptid=1004&t=multiagent+truth+maintenance+applied+to+a+tourism+recommender+system |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Agent-based model Information source Internet Reason maintenance Recommender system Repository contents - HtmlLinkType interest |
| Content Type | Text |
| Resource Type | Article |