Condorcet fusion for improved retrieval
Proceedings of the eleventh international conference on Information and knowledge management
Optimizing search engines using clickthrough data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
An efficient boosting algorithm for combining preferences
The Journal of Machine Learning Research
TREC: Experiment and Evaluation in Information Retrieval (Digital Libraries and Electronic Publishing)
Learning to rank: from pairwise approach to listwise approach
Proceedings of the 24th international conference on Machine learning
AdaRank: a boosting algorithm for information retrieval
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Human performance and retrieval precision revisited
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Rank-mixer and rank-booster: improving the effectiveness of retrieval methods
ICPR'10 Proceedings of the 20th International conference on Recognizing patterns in signals, speech, images, and videos
Active learning to maximize accuracy vs. effort in interactive information retrieval
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Evaluation of feature combination approaches for text categorisation
ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
AMR'10 Proceedings of the 8th international conference on Adaptive Multimedia Retrieval: context, exploration, and fusion
Improving a hybrid literary book recommendation system through author ranking
Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries
A new approach to answerer recommendation in community question answering services
ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
Contextualization using hyperlinks and internal hierarchical structure of Wikipedia documents
Proceedings of the 21st ACM international conference on Information and knowledge management
Predicting query performance for fusion-based retrieval
Proceedings of the 21st ACM international conference on Information and knowledge management
Learning to rank by aggregating expert preferences
Proceedings of the 21st ACM international conference on Information and knowledge management
A group recommender for movies based on content similarity and popularity
Information Processing and Management: an International Journal
Image re-ranking and rank aggregation based on similarity of ranked lists
Pattern Recognition
Selection fusion in semi-structured retrieval
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
CRF framework for supervised preference aggregation
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Using contextual spaces for image re-ranking and rank aggregation
Multimedia Tools and Applications
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Reciprocal Rank Fusion (RRF), a simple method for combining the document rankings from multiple IR systems, consistently yields better results than any individual system, and better results than the standard method Condorcet Fuse. This result is demonstrated by using RRF to combine the results of several TREC experiments, and to build a meta-learner that ranks the LETOR 3 dataset better than any previously reported method