Optimizing ranking functions: a connectionist approach to adaptive information retrieval
Optimizing ranking functions: a connectionist approach to adaptive information retrieval
Analyses of multiple evidence combination
Proceedings of the 20th 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
Adaptive combination of evidence for information retrieval
Adaptive combination of evidence for information retrieval
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
Voting for candidates: adapting data fusion techniques for an expert search task
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
An outranking approach for rank aggregation in information retrieval
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Voting techniques for expert search
Knowledge and Information Systems
Effective rank aggregation for metasearching
Journal of Systems and Software
LambdaMerge: merging the results of query reformulations
Proceedings of the fourth ACM international conference on Web search and data mining
Predicting query performance for fusion-based retrieval
Proceedings of the 21st ACM international conference on Information and knowledge management
| Hi-index | 0.00 |
We investigate the performance of metasearch algorithms in terms of how much they improve consistency. We find that three different metasearch algorithms, each over three datasets, usually improve the consistency of search results; sometimes the improvement is dramatic. Furthermore, consistency tends to improve when performance improves.