Personalized retrieval of spatial information combining user profile with query request

Conventional information retrieval doesn't meet users' personalized requirements. Furthermore, personalized retrieval in recent few years focuses on mainly personalization of web information retrieval regardless of the difference between traditional information and spatial information. In this paper, a personalized retrieval strategy of spatial information is further put forward, which combines user profile with query request, and consists of following stages: Firstly, original data collected by system is cataloged into different levels, and useful information is refined from the levels; Secondly, user profiles are constructed on the basis of refined information; Thirdly, the search for spatial information from query conditions is implemented and the candidates are got accordingly; Lastly, utility degrees of the candidates aren't identical for different users in spite of the same query conditions, and so the utility degrees are achieved based on user profiles and personalized retrieval results are available after descending the candidates by utility degrees.