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
Predicting the effectiveness of Naïve data fusion on the basis of system characteristics
Journal of the American Society for Information Science
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Relevance score normalization for metasearch
Proceedings of the tenth international conference on Information and knowledge management
Condorcet fusion for improved retrieval
Proceedings of the eleventh international conference on Information and knowledge management
Fusion Via a Linear Combination of Scores
Information Retrieval
From Retrieval Status Values to Probabilities of Relevance for Advanced IR Applications
Information Retrieval
Fusion of effective retrieval strategies in the same information retrieval system
Journal of the American Society for Information Science and Technology
Performance prediction of data fusion for information retrieval
Information Processing and Management: an International Journal
ProbFuse: a probabilistic approach to data fusion
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Improving high accuracy retrieval by eliminating the uneven correlation effect in data fusion
Journal of the American Society for Information Science and Technology
Data fusion with correlation weights
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
Assigning appropriate weights for the linear combination data fusion method in information retrieval
Information Processing and Management: an International Journal
The linear combination data fusion method in information retrieval
DEXA'11 Proceedings of the 22nd international conference on Database and expert systems applications - Volume Part II
Multimodal information spaces for content-based image retrieval
FDIA'09 Proceedings of the Third BCS-IRSG conference on Future Directions in Information Access
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Data fusion in information retrieval has been investigated by many researchers and quite a few data fusion methods have been proposed. However, their effect on effectiveness has not been well understood. In this paper, we apply statistical principles to data fusion and obtain some useful conclusions, which can be used as a guideline for data fusion methods. Based on that, CombSum, the linear combination methods, and the correlation methods can be justified in certain conditions. We also investigate how to improve the effectiveness of some existing data fusion methods such as CombSum and the linear combination method. Experimental results with TREC data are reported to support the conclusions.