Document language models, query models, and risk minimization for information retrieval
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Model-based feedback in the language modeling approach to information retrieval
Proceedings of the tenth international conference on Information and knowledge management
A study of smoothing methods for language models applied to information retrieval
ACM Transactions on Information Systems (TOIS)
A Markov random field model for term dependencies
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Bias and the limits of pooling for large collections
Information Retrieval
An analysis on document length retrieval trends in language modeling smoothing
Information Retrieval
The opposite of smoothing: a language model approach to ranking query-specific document clusters
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
A few examples go a long way: constructing query models from elaborate query formulations
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Discovering key concepts in verbose queries
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Adapting information retrieval to query contexts
Information Processing and Management: an International Journal
Mining term association patterns from search logs for effective query reformulation
Proceedings of the 17th ACM conference on Information and knowledge management
A Generative Language Modeling Approach for Ranking Entities
Advances in Focused Retrieval
The influence of personalization on tag query length in social media search
Information Processing and Management: an International Journal
Building queries for prior-art search
IRFC'11 Proceedings of the Second international conference on Multidisciplinary information retrieval facility
Exploiting External Collections for Query Expansion
ACM Transactions on the Web (TWEB)
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Leveraging information from relevance assessments has been proposed as an effective means for improving retrieval. We introduce a novel language modeling method which uses information from each assessed document and their aggregate. While most previous approaches focus either on features of the entire set or on features of the individual relevant documents, our model exploits features of both the documents and the set as a whole. When evaluated, we show that our model is able to significantly improve over state-of-art feedback methods.