A Novel Fuzzy Logic Model for Pseudo-Relevance Feedback-Based Query Expansion

Publication Type:
Journal Article
Citation:
International Journal of Fuzzy Systems, 2016, 18 (6), pp. 980 - 989
Issue Date:
2016-12-01
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© 2016, Taiwan Fuzzy Systems Association and Springer-Verlag Berlin Heidelberg. In this paper, a novel fuzzy logic-based expansion approach considering the relevance score produced by different rank aggregation approaches is proposed. It is well known that different rank aggregation approaches yield different relevance scores for each term. The proposed fuzzy logic approach combines different weights of each term by using fuzzy rules to infer the weights of the additional query terms. Experimental results demonstrate that the proposed approach achieves significant improvement over individual expansion, aggregated and other related state-of-the-arts methods.
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