Abstract: Personalization to information retrieval is very useful in information retrieval, the user profile can be used to represent the favorites or interests of an user. Many approaches to personali}ation have been studied in expanding query with user profile. We proposed a navel method which use the context of long-term user profile with multiple-domain to expand query model under the unigram language modeling framework, uses the new query model to retrieve and get more interesting results for users. Then combined with psudo-elevance feedback model, the method get better performance. Experimental results show that the proposed method is effective.

Key words: Information retrieval, Language model, Personalization, Query expansion