The use of term position devices in ranked output experiments
Journal of Documentation
Some aspects of proximity searching in text retrieval systems
Journal of Information Science
Relevance feedback with too much data
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Query expansion using local and global document analysis
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Effective ranking with arbitrary passages
Journal of the American Society for Information Science and Technology
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
Relevance based language models
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
A study of smoothing methods for language models applied to Ad Hoc 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
Passage retrieval based on language models
Proceedings of the eleventh international conference on Information and knowledge management
Improving pseudo-relevance feedback in web information retrieval using web page segmentation
WWW '03 Proceedings of the 12th international conference on World Wide Web
A Markov random field model for term dependencies
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Minimal test collections for retrieval evaluation
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Term proximity scoring for ad-hoc retrieval on very large text collections
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
An exploration of proximity measures in information retrieval
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Latent concept expansion using markov random fields
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Selecting good expansion terms for pseudo-relevance feedback
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Query expansion using gaze-based feedback on the subdocument level
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Learning in a pairwise term-term proximity framework for information retrieval
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
A proximity language model for information retrieval
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Positional language models for information retrieval
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
A comparative study of methods for estimating query language models with pseudo feedback
Proceedings of the 18th ACM conference on Information and knowledge management
Term proximity scoring for keyword-based retrieval systems
ECIR'03 Proceedings of the 25th European conference on IR research
A boosting approach to improving pseudo-relevance feedback
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Parameterized concept weighting in verbose queries
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Enriching document representation via translation for improved monolingual information retrieval
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Query expansion for language modeling using sentence similarities
IRFC'11 Proceedings of the Second international conference on Multidisciplinary information retrieval facility
Is document frequency important for PRF?
ICTIR'11 Proceedings of the Third international conference on Advances in information retrieval theory
Markov graphic method for information retrieval
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part II
Learning-based relevance feedback for web-based relation completion
Proceedings of the 20th ACM international conference on Information and knowledge management
Predicting document effectiveness in pseudo relevance feedback
Proceedings of the 20th ACM international conference on Information and knowledge management
Effective query formulation with multiple information sources
Proceedings of the fifth ACM international conference on Web search and data mining
Linking entities to a knowledge base with query expansion
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Exploiting real-time information retrieval in the microblogosphere
Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries
Proximity-based rocchio's model for pseudo relevance
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Extending BM25 with multiple query operators
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Discovering relevant features for effective query formulation
IRFC'12 Proceedings of the 5th conference on Multidisciplinary Information Retrieval
Structured event retrieval over microblog archives
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Is the unigram relevance model term independent?: classifying term dependencies in query expansion
Proceedings of the Seventeenth Australasian Document Computing Symposium
Experiments on pseudo relevance feedback using graph random walks
SPIRE'12 Proceedings of the 19th international conference on String Processing and Information Retrieval
Modeling reformulation using query distributions
ACM Transactions on Information Systems (TOIS)
An incremental approach to efficient pseudo-relevance feedback
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Leveraging conceptual lexicon: query disambiguation using proximity information for patent retrieval
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Assisting code search with automatic query reformulation for bug localization
Proceedings of the 10th Working Conference on Mining Software Repositories
A Theoretical Analysis of Pseudo-Relevance Feedback Models
Proceedings of the 2013 Conference on the Theory of Information Retrieval
Improving pseudo-relevance feedback via tweet selection
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Term associations in query expansion: a structural linguistic perspective
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Lexicon-based Document Representation
Fundamenta Informaticae - Cognitive Informatics and Computational Intelligence: Theory and Applications
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Pseudo-relevance feedback is an effective technique for improving retrieval results. Traditional feedback algorithms use a whole feedback document as a unit to extract words for query expansion, which is not optimal as a document may cover several different topics and thus contain much irrelevant information. In this paper, we study how to effectively select from feedback documents those words that are focused on the query topic based on positions of terms in feedback documents. We propose a positional relevance model (PRM) to address this problem in a unified probabilistic way. The proposed PRM is an extension of the relevance model to exploit term positions and proximity so as to assign more weights to words closer to query words based on the intuition that words closer to query words are more likely to be related to the query topic. We develop two methods to estimate PRM based on different sampling processes. Experiment results on two large retrieval datasets show that the proposed PRM is effective and robust for pseudo-relevance feedback, significantly outperforming the relevance model in both document-based feedback and passage-based feedback.