Analyses of multiple evidence combination
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Modeling score distributions for combining the outputs of search engines
Proceedings of the 24th 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
Merging techniques for performing data fusion on the web
Proceedings of the tenth international conference on Information and knowledge management
Context and Page Analysis for Improved Web Search
IEEE Internet Computing
Resource selection and data fusion in multimedia distributed digital libraries
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Discovering "title-like" terms
Information Processing and Management: an International Journal
Foundations and Trends in Information Retrieval
Cluster-based fusion of retrieved lists
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
From "identical" to "similar": fusing retrieved lists based on inter-document similarities
Journal of Artificial Intelligence Research
Mixture model with multiple centralized retrieval algorithms for result merging in federated search
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Utilizing inter-document similarities in federated search
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
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This poster describes initial work exploring a relatively unexamined area of data fusion: fusing the results of retrieval systems whose collections have no overlap between them. Many of the effective meta-search/data fusion strategies gain much of their success from exploiting document overlap across the source systems being merged. When the intersection of the collections is the empty set, the strategies generally degrade to a simpler form. In order to address such situations, two strategies were examined: re-ranking of merged results using a locally run search on the text fragments returned by the source search engines; and re-ranking based on cross document similarity, again using text fragments presented in the retrieved list. Results, from experiments, which go beyond previous work, indicate that both strategies improve fusion effectiveness.