Research on Personalized Document Retrieval and Ranking Strategy

Abstract

In order to obtain proper text information consistent with the users’ cognitive level, a new personalized retrieval method is proposed for the distant learners. At first the user’s personalized cognitive structure is established and this structure can represent the users’ cognitive level formally. Then related concept can be extended around the keywords, which usually reflect their focus of attention. How to extend depennd on the semantic distance which should be measured by some new formula in this article. At last these queried documents should be ranked according to the user’s cognitive level and the difficulty of the document containt. Experiments show that even if some different learners use the same keywords, the query result is consistent with their cognitive level respectively.