International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064


Downloads: 109

Review Papers | Computer Science & Engineering | India | Volume 4 Issue 3, March 2015


Advanced Content Based Mobile Search Engine

Patil Anuja A., M. M. Naoghare


Abstract: A personalized search engine that captures the users preferences in the form of concepts by mining their click through data. Due to the value of location information in search, in this technique the user preferences are organized in an ontology-based, versatile user profile, which are used to adapt a personalized ranking function for rank adaptation of future search results. Based on the client-server model, presented is a detailed architecture and design for implementation of Personalized Search Engine. In design, the client collects and stores locally the click through data to protect privacy, whereas important tasks such as concept mining training, and re-ranking are performed at the Personalized Search Engine server. Moreover, the privacy issue is addressed by restricting the information in the user profile exposed to the server. This technique of Personalized Search Engine is prototyped on the Google Android platform.


Keywords: Click through data, location search, PMSE, Mobile search engine, ontology, user, personalized profiling


Edition: Volume 4 Issue 3, March 2015,


Pages: 1097 - 1101


How to Cite this Article?

Patil Anuja A., M. M. Naoghare, "Advanced Content Based Mobile Search Engine", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=SUB152248, Volume 4 Issue 3, March 2015, 1097 - 1101

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