Personalized Information Retrieval Model Based on User Interests
Hao Chen, Cheng Zeng · 2008
Traditional search engines simply match according to keywords and recommend information for all the users without considering user preferences. Thus, personalized retrieval technology becomes the ¿hotspot¿ of current research on information retrieval. On the groundwork of traditional search techniques, this paper advances a personalized information retrieval model based on user interests via the import of user interests to achieve the aim of personalized retrieval, which seeks to assist users to find out the information they need fast and accurately.