Query Expansion Method Based On User Interest And Term Relation

The users'interest isn't taken into consideration in the traditional method of information retrieval. The different users will receive the same result when they put into the same queries, while they can'get the personalized result based on their real intension of search. This thesis presents a method of query expansion based on users'interest and the relationship of terms. It can expand terms which can express more users'intension based on their initial query to improve the level of personalization.The major tasks of the thesis are as follows:1. Explore the terms users are interested in: Exploring the web documents users look through and the corresponding information, we get the collections of terms presenting the web by the operation such as analyzing the terms and frequency count. Through the time when users look through the web and the operation record of click, we explore and calculate the value of terms in the web to get the collections of the terms presenting users'interest.2. Expand the initial query: We adjust the original inquiries' value according to the synonyms of the initial query in the terms presenting users'interest; we combined these terms related to ontology between the terms presenting users'interest and the initial queries into new queries.3. Experiments: Design an experiment to compare the proposed method of the query expansion in this paper with the method without the query expansion.The experimental results show that the method can search more related documents effectively, and the order of results accords with the demand of users'personalization.