A SURVEY OF PERSONALIZED MOBILE SEARCH ENGINE USING ASSOCIATION RULES

Abstract

In the Mobile based search is the major problem that interaction between the user and search are controlled by little numeral of factors in the mobile plans. By observing the necessitate of dissimilar types of concepts, present personalized mobile search engine, it capture the user preferences concepts by mining click through data. In PMSE the user preferences are ordered in an ontology-based, user profile to adapt a personalized ranking function for future search results. In the proposed system introduce an association rule mining algorithm to collect the related query patterns and patterns from the original personal mobile search engine profile. Association rule learning is a popular and well researched method for discovering interesting relations between variables in large databases. It introduced association rules for discovering regularities between normal patterns and query related patterns in the personalized mobile search engine result.

Keywords: Mobile based Search Engine, Association rule.