A hidden Markov model information retrieval system
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Information retrieval as statistical translation
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
A general language model for information retrieval
Proceedings of the eighth international conference on Information and knowledge management
Probabilistic query expansion using query logs
Proceedings of the 11th international conference on World Wide Web
A new approach for evaluating query expansion: query-document term mismatch
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Feature engineering on event-centric surrogate documents to improve search results
Proceedings of the 18th ACM conference on Information and knowledge management
External query reformulation for text-based image retrieval
SPIRE'11 Proceedings of the 18th international conference on String processing and information retrieval
| Hi-index | 0.00 |
We apply language modeling keyword search augmented with Berger and Lafferty's (1999) translation model for query expansion to formulate three query expansion methods using word co-occurrence statistics from a large external corpus and user clickthrough data. We study the performance of these methods on a vertical domain (case law documents) using standard metrics and an evaluation framework designed specifically to measure the performance of query expansion under varying degrees of query-document term mismatch.