Title :
A User Interests-Sensitive Ranking Algorithm Based on Rough and Fuzzy Set
Author :
Yi, Gaoxiang ; Wei, Lijun ; Yu, Yang
Author_Institution :
China Acad. of Safety Sci. & Technol., Beijing
Abstract :
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.
Keywords :
Web sites; fuzzy set theory; rough set theory; search engines; approximation similarity; fuzzy set theory; rough set theory; user interests-sensitive page ranking algorithm; Data mining; Fuzzy set theory; Fuzzy sets; IP networks; Safety; Search engines; Set theory; Testing; Web pages; Web search;
Conference_Titel :
Semantics, Knowledge and Grid, Third International Conference on
Conference_Location :
Shan Xi
Print_ISBN :
0-7695-3007-9
Electronic_ISBN :
978-0-7695-3007-9
DOI :
10.1109/SKG.2007.143
