Personalized Query Expansion Based on an Expert System for Mobile Search

Compared with the traditional PC-based web search, the mobile search needs more personalization. An approach to personalized query expansion based on an expert system for mobile search is proposed. Our main work concentrates on the algorithms of query expansion. First, environmental information obtained by a mobile device and query terms submitted by a user are formatted into the specific format. Then these treated elements are sent to an expert system to match with the rules. Finally, according to the matched rules, the additional keywords are appended to the query terms so as to catch on the user´s search intention. Experimental results shown that the approach we proposed can significantly improve user´s experience and has much better performance in precision than that of the existing public search engines.