Information Processing and Management: an International Journal
Information Processing and Management: an International Journal
Method combination for document filtering
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Building efficient and effective metasearch engines
ACM Computing Surveys (CSUR)
Selective merging of retrieval results for metasearch environments
Selective merging of retrieval results for metasearch environments
A Fuzzy Search Engine Weighted Approach to Result Merging for Metasearch
RSFDGrC '07 Proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
A comprehensive OWA-based framework for result merging in metasearch
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
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Result merging of search engine results for metasearch is a well explored area. However most result merging models try to collate document rankings from the search engines whose results are being merged into a single ranking using some mathematical function. However, only a few models compare documents in pair wise comparisons during the process of result merging. In this paper, we propose a Weighted Hybrid Fuzzy Result Merging model that comprehensively compares search engines and documents in pairs before applying the result aggregation function. We compare and contrast the performance of our model with existing models for result merging.