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
Analyses of multiple evidence combination
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Ranking retrieval systems without relevance judgments
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
Relevance score normalization for metasearch
Proceedings of the tenth international conference on Information and knowledge management
Methods for ranking information retrieval systems without relevance judgments
Proceedings of the 2003 ACM symposium on Applied computing
Performance prediction of data fusion for information retrieval
Information Processing and Management: an International Journal
Improving high accuracy retrieval by eliminating the uneven correlation effect in data fusion
Journal of the American Society for Information Science and Technology
Information Processing and Management: an International Journal
Probability-based fusion of information retrieval result sets
Artificial Intelligence Review
Texture Retrieval Effectiveness Improvement Using Multiple Representations Fusion
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
Information retrieval from visual databases using multiple representations and multiple queries
Proceedings of the 2009 ACM symposium on Applied Computing
Assigning appropriate weights for the linear combination data fusion method in information retrieval
Information Processing and Management: an International Journal
Performance weights for the linear combination data fusion method in information retrieval
ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems
The experiments with the linear combination data fusion method in information retrieval
APWeb'08 Proceedings of the 10th Asia-Pacific web conference on Progress in WWW research and development
Estimating probabilities for effective data fusion
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
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
Applying the data fusion technique to blog opinion retrieval
Expert Systems with Applications: An International Journal
Evaluating score normalization methods in data fusion
AIRS'06 Proceedings of the Third Asia conference on Information Retrieval Technology
Query performance prediction: evaluation contrasted with effectiveness
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
Data fusion with correlation weights
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
Copulas for information retrieval
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
| Hi-index | 0.00 |
This paper proposes an adptive approach for data fusion of information retrieval systems, which exploits estimated performances of all component input systems without relevance judgement or training. The estimation is conducted prior to the fusion but uses the same data as fusion applies. The experiment shows that our algorithms are competitive with, and often outperform CombMNZ, one of the most effective algorithms in use.