On Fuzzy Result Merging for Metasearch
Arijit De, Elizabeth E. Diaz, Vijay V. Raghavan · Proceedings of ... IEEE International Conference on Fuzzy Systems · 2007
The result merging problem for metasearch engines is to combine multiple result lists, returned by search engines, in response to a query, so as to achieve optimal aggregation. Here we propose three result merging models for metasearch that apply Yager's fuzzy aggregation OWA operator to result merging and extend the OWA model for metasearch proposed by Diaz. These are the importance guided OWA (IGOWA), the algebraic t-norm OWA, and the algebraic t-norm IGOWA models. While the first two are based on Yager's extension of the OWA operator, the third is a combination of the features of the first two. We compare the performance of our models to Diaz's OWA model and the Borda-Fuse and Weighted Borda-Fuse models proposed by Aslam and Montague.