Information Processing and Management: an International Journal
Automatic combination of multiple ranked retrieval systems
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Pivoted document length normalization
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Integrating structured data and text: a relational approach
Journal of the American Society for Information Science
Analyses of multiple evidence combination
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Predicting the performance of linearly combined IR systems
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Journal of the American Society for Information Science
Expert agreement and content based reranking in a meta search environment using Mearf
Proceedings of the 11th international conference on World Wide Web
Fusion Approaches for Mappings between Heterogeneous Ontologies
ECDL '01 Proceedings of the 5th European Conference on Research and Advanced Technology for Digital Libraries
Learning retrieval expert combinations with genetic algorithms
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Supporting metasearch with XSL
Journal of Systems and Software - Special issue: Performance modeling and analysis of computer systems and networks
Fusion of effective retrieval strategies in the same information retrieval system
Journal of the American Society for Information Science and Technology
Database collaboration instead of integration
APCCM '05 Proceedings of the 2nd Asia-Pacific conference on Conceptual modelling - Volume 43
On the development of name search techniques for Arabic
Journal of the American Society for Information Science and Technology
On linear mixture of expert approaches to information retrieval
Decision Support Systems
Information Processing and Management: an International Journal
Data fusion of retrieval results from different media: experiments at ImageCLEF 2005
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
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Prior work has shown that combining results of various retrieval approaches and query representations can improve search effectiveness. Today, many meta-search engines exist which combine the results of various search engines in the hopes of improving overall effectiveness. However, the combination of results from different search engines masks variations in parsers, and other indexing techniques (stemming, stop words, etc.) This makes it difficult to assess the utility of the fusion technique. We have implemented the two most prevalent retrieval strategies: probabilistic and vector space using the same parser and the same relational retrieval engine. First, we identified a model that enables the fusion of an arbitrary number of sources. Next, we tested various linear combinations of these two methods as well as various thresholds for identifying retrieved documents. Our results show some improvement of effectiveness, but they also provide us for a baseline from which we can continue with other retrieval strategies and test the effect of fusing these strategies.