The ACE recommender system
In this report we present the ACE Recommender System, a system built using the Multi Agent technology. In a practical way we study the use of cognitive and collaborative filtering to improve the accuracity of the recommendations. We also show the way the user and the documents are modelled in the AC...
| Autores: | , , |
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| Tipo de recurso: | informe técnico |
| Fecha de publicación: | 2001 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/370272 |
| Acceso en línea: | https://hdl.handle.net/2117/370272 |
| Access Level: | acceso abierto |
| Palabra clave: | Recommender systems (Information filtering) Multiagent systems Software agents Recommender systems Collaborative filtering User modeling Sistemes recomanadors (Filtratge d'informació) Sistemes multiagent Àrees temàtiques de la UPC::Informàtica |
| Sumario: | In this report we present the ACE Recommender System, a system built using the Multi Agent technology. In a practical way we study the use of cognitive and collaborative filtering to improve the accuracity of the recommendations. We also show the way the user and the documents are modelled in the ACE system to combine this two aproaches. Finally some results are presented and discussed. |
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