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Return to Session Va: Language models
Previous research on cluster-based retrieval has been inconclusive as to whether it does bring improved retrieval effectiveness over document-based retrieval. Recent developments in the language modeling approach to IR have motivated us to re-examine this problem within this new retrieval framework. We propose two new models for cluster-based retrieval and evaluate them on several TREC collections. We show that cluster-based retrieval can perform consistently across collections of realistic size, and significant improvements over document-based retrieval can be obtained in a fully automatic manner and without relevance information provided by human.
@inproceedings{1009026, author = {Xiaoyong Liu and W. Bruce Croft}, title = {Cluster-based retrieval using language models}, booktitle = {SIGIR '04: Proceedings of the 27th annual international conference on Research and development in information retrieval}, year = {2004}, isbn = {1-58113-881-4}, pages = {186--193}, location = {Sheffield, United Kingdom}, doi = {http://doi.acm.org/10.1145/1008992.1009026}, publisher = {ACM Press}, }  ©2005 Association for Computing Machinery |
