A User Interests-Sensitive Ranking Algorithm Based on Rough and Fuzzy Set
Gaoxiang Yi, Lijun Wei, Yu Yang · Third International Conference on Semantics, Knowledge and Grid (SKG 2007) · 2007
A new method for user interests-sensitive page ranking based rough and fuzzy set is proposed. Firstly, we utilize the rough and fuzzy set theory to denote user interests terms, the approximation similarity between the terms and document. Then, the user interests is integrated to search results rank. Finally, we make experiments on real data to testify the effectiveness of our approach. The experiments results show that the results of user-interest sensitive ranking based on rough and fuzzy set is very high relevant to user taste.