Title :
Context filtering process for mobile web search
Author :
Missaoui, Sihem ; Faiz, Rim
Author_Institution :
LARODEC, IHEC Univ. of Carthage, Tunisia
Abstract :
The increase of mobile computing systems and the growth of mobile Web highly influence the needs for personalized mobile browsers. To this aim, mobile applications take benefits from context-aware computing by adapting search process through user´s context information (parameters). However, Contextualized Mobile Information Retrieval still remains a challenging problem. This last is to identify contextual parameters that improve search effectiveness and should therefore be in the user´s focus. We investigate in this paper the problem of filtering mobile user´s context and we propose a Language model for relevant context fields recognition. The proposed model interprets a context field relevance as a metric measure and estimates it using different features. In particular, we propose to filter as much as possible the mobile user´s context to emanate efficient information that help in a personalization access to information.person- alized mobile browsers.
Keywords :
information filtering; mobile computing; natural language processing; online front-ends; relevance feedback; context field recognition; context field relevance; context-aware computing; contextualized mobile information retrieval; feature estimation; language model; metric measure; mobile Web search; mobile computing systems; mobile user context filtering process; personalized information access; personalized mobile browsers; search effectiveness improvement; user context information; user context parameters; Computational modeling; Context; Context modeling; Filtering; Measurement; Mobile communication; Web search; Context awareness; Context filtering process; Mobile information retrieval; Relevance metric measure;
Conference_Titel :
Computer Systems and Applications (AICCSA), 2013 ACS International Conference on
Conference_Location :
Ifrane
DOI :
10.1109/AICCSA.2013.6616506