TY  - JOUR
T1  - Web Search Model Based on User Context Information and Collaborative Filtering Techniques
JO  - UIS Ingenierías
VL  - 11
IS  - 1
SP  - 83
EP  - 102
PY  - 2012/06//
T2  - Modelo de Búsqueda Web Basado en Información del Contexto del Usuario y Técnicas de Filtrado Colaborativo
AU  - Garcés, Sara
AU  - Cobos, Carlos
AU  - Goméz, Luis
SN  - 1657-4583
UR  - http://revistas.uis.edu.co/index.php/revistauisingenierias/article/view/3199
KW  - Information retrieval
KW  - User’s Context
KW  - Collaborative Filtering
KW  - Query Expansion
KW  - Web Search
AB  - 
Despite the continuous development modern Web browsers have had, they have not fulfilled user needs, and the retrieved documents relevance is one of the main issues affecting the search quality. The proposed web search meta model engine integrates Web search collaborative filtering (based on items) to Massimo Melucci’s proposal that is based on projectors on plans that came in the user context information. The obtained model was implemented in a meta search site that retrieves documents from traditional search engines like Google and Bing. It presents the results to the user through a list of documents sorted by relevance based on information from the user’s context and the collaborative community feedback. The proposed model constitutes a contribution to the field of information retrieval, since it shows promising results in both closed collections and open collections tests.
ER  -