Name
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. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/SKG.2007.143 | SKG |
Keywords | Field | DocType |
rough set theory,user interests-sensitive page,user interests-sensitive page ranking algorithm,fuzzy set theory,fuzzy set,user interests term,user interests-sensitive ranking algorithm,approximation similarity,web sites,experiments result,user-interest sensitive ranking,user taste,user interest,search engines,new method | Data mining,Defuzzification,Fuzzy classification,Computer science,Fuzzy set operations,Rough set,Fuzzy set,Artificial intelligence,Type-2 fuzzy sets and systems,Fuzzy number,Dominance-based rough set approach,Machine learning | Conference |
ISBN | Citations | PageRank |
978-0-7695-3007-9 | 0 | 0.34 |
References | Authors | |
2 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gaoxiang Yi | 1 | 3 | 1.16 |
| Lijun Wei | 2 | 80 | 10.44 |
| Yang Yu | 3 | 24 | 13.21 |