IR evaluation methods for retrieving highly relevant documents
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
ACM SIGIR Forum
Understanding user goals in web search
Proceedings of the 13th international conference on World Wide Web
Simple BM25 extension to multiple weighted fields
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Optimizing web search using web click-through data
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Linear discriminant model for information retrieval
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Learning to rank using gradient descent
ICML '05 Proceedings of the 22nd international conference on Machine learning
Improving web search ranking by incorporating user behavior information
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Evaluation over thousands of queries
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Using English information in non-English web search
Proceedings of the 2nd ACM workshop on Improving non english web searching
Multi-task learning for learning to rank in web search
Proceedings of the 18th ACM conference on Information and knowledge management
Model adaptation via model interpolation and boosting for web search ranking
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
Adapting boosting for information retrieval measures
Information Retrieval
Multilingual PRF: english lends a helping hand
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Multilingual pseudo-relevance feedback: performance study of assisting languages
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Leveraging interlingual classification to improve web search
Proceedings of the 21st international conference companion on World Wide Web
Modeling click-through based word-pairs for web search
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
| Hi-index | 0.00 |
Training data as well as supplementary data such as usagebased click behavior may abound in one search market (i.e., a particular region, domain, or language) and be much scarcer in another market. Transfer methods attempt to improve performance in these resourcescarce markets by leveraging data across markets. However, differences in feature distributions across markets can change the optimal model. We introduce a method called Fractional Similarity, which uses query-based variance within a market to obtain more reliable estimates of feature deviations across markets. An empirical analysis demonstrates that using this scoring method as a feature selection criterion in cross-lingual transfer improves relevance ranking in the foreign language and compares favorably to a baseline based on KL divergence