Relevance based language models
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
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)
ACM Transactions on Information Systems (TOIS)
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
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 pseudo-relevance feedback via tweet selection
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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The appearance of microblogging services has led to many short documents being issued by crowds of people. To retrieve useful information from among such a huge quantity of messages, query expansion (QE) is usually used to enrich a user query. Some QE methods for microblog search utilize temporal properties (e.g., recency and temporal variation) derived from the real-time characteristic that many messages are posted by users when an interesting event has recently occurred. Our approach leverages temporal properties for QE and combines them according to the temporal variation of a given topic. Experimental results show that this QE method using automatically combined temporal properties is effective at improving retrieval performance.