Towards interactive query expansion
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
Improving automatic query expansion
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
A language modeling approach to information retrieval
Proceedings of the 21st 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
Model-based feedback in the language modeling approach to information retrieval
Proceedings of the tenth international conference on Information and knowledge management
Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
CIKM '03 Proceedings of the twelfth 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)
Cluster-based retrieval using language models
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Corpus structure, language models, and ad hoc information retrieval
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Better than the real thing?: iterative pseudo-query processing using cluster-based language models
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
LDA-based document models for ad-hoc retrieval
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Language model information retrieval with document expansion
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
ACM Transactions on Information Systems (TOIS)
Term feedback for information retrieval with language models
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
A comparison of statistical significance tests for information retrieval evaluation
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Selecting good expansion terms for pseudo-relevance feedback
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
Integration of news content into web results
Proceedings of the Second ACM International Conference on Web Search and Data Mining
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Positional relevance model for pseudo-relevance feedback
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Incorporating query expansion and quality indicators in searching microblog posts
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Estimation methods for ranking recent information
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Answering General Time-Sensitive Queries
IEEE Transactions on Knowledge and Data Engineering
Exploiting real-time information retrieval in the microblogosphere
Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries
Adaptive temporal query modeling
ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
Improving retrieval of short texts through document expansion
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in 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
Survival analysis for freshness in microblogging search
Proceedings of the 21st ACM international conference on Information and knowledge management
Temporal models for microblogs
Proceedings of the 21st ACM international conference on Information and knowledge management
Cognitive temporal document priors
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Combining recency and topic-dependent temporal variation for microblog search
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
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Query expansion methods using pseudo-relevance feedback have been shown effective for microblog search because they can solve vocabulary mismatch problems often seen in searching short documents such as Twitter messages (tweets), which are limited to 140 characters. Pseudo-relevance feedback assumes that the top ranked documents in the initial search results are relevant and that they contain topic-related words appropriate for relevance feedback. However, those assumptions do not always hold in reality because the initial search results often contain many irrelevant documents. In such a case, only a few of the suggested expansion words may be useful with many others being useless or even harmful. To overcome the limitation of pseudo-relevance feedback for microblog search, we propose a novel query expansion method based on two-stage relevance feedback that models search interests by manual tweet selection and integration of lexical and temporal evidence into its relevance model. Our experiments using a corpus of microblog data (the Tweets2011 corpus) demonstrate that the proposed two-stage relevance feedback approaches considerably improve search result relevance over almost all topics.