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
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)
Regularized estimation of mixture models for robust pseudo-relevance feedback
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Hot Topic Extraction Based on Timeline Analysis and Multidimensional Sentence Modeling
IEEE Transactions on Knowledge and Data Engineering
ACM SIGIR Forum
Why we twitter: understanding microblogging usage and communities
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
Answering general time sensitive queries
Proceedings of the 17th ACM conference on Information and knowledge management
Micro-blogging as online word of mouth branding
CHI '09 Extended Abstracts on Human Factors in Computing Systems
A comparative study of methods for estimating query language models with pseudo feedback
Proceedings of the 18th ACM conference on Information and knowledge management
Time is of the essence: improving recency ranking using Twitter data
Proceedings of the 19th international conference on World wide web
Highly frequent terms and sentence retrieval
SPIRE'07 Proceedings of the 14th international conference on String processing and information retrieval
Positional relevance model for pseudo-relevance feedback
Proceedings of the 33rd international ACM SIGIR conference on Research and development 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
The Impacts of Structural Difference and Temporality of Tweets on Retrieval Effectiveness
ACM Transactions on Information Systems (TOIS)
Exploiting ranking factorization machines for microblog retrieval
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Improving pseudo-relevance feedback via tweet selection
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Exploiting topic tracking in real-time tweet streams
Proceedings of the 2013 international workshop on Mining unstructured big data using natural language processing
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Information seeking behavior in microblogging environments such as Twitter differs from traditional web search. The best performing microblog retrieval techniques attempt to utilize both semantic and temporal aspects of documents. In this paper, we present an effective approach, including the query modeling, the document modeling and the temporal re-ranking, to discover the most recent but relevant information to the query. For the query modeling, we introduce a two-stage pseudo-relevance feedback query expansion to overcome the severe vocabulary-mismatch problem of short message retrieval in microblog. For the document modeling, we propose two ways to expand document with the help of the shortened URL. For the temporal re-ranking, we suggest several methods to evaluate the temporal aspects of documents. Experimental results demonstrate that our approach obtains significant improvements compared with baseline systems. Specifically, the proposed system gives 26.37% and 9.94% further increases in P@30 and MAP over the best performing result on highrel in the TREC'11 Real-Time Search Task.