BEST of KAUST at TREC 2011: Building Effective Search in Twitter

RMIT at TREC 2011 Microblog Track

This paper describes our submission to the TREC 2011 microblog task. For the experiments, we use our new self-index search engine, NeWT, to support ranked search in the Twitter document corpus. We use a combination of phrase queries and degrading conjunctive Boolean intersection to improve retrieval effectiveness. Keywords-self-index; full-text search, phrases, threshold; intersection

USC/ISI at TREC 2011: Microblog Track

This paper describes the search system we developed for the inaugural TREC 2011 Microblog Track. Our system makes use of best-practice ranking techniques, including term, phrase, and proximity-based text matching via the Markov random field model, pseudo-relevance feedback using Latent Concept Expansion, and a feature-based ranking model that uses a simple, but effective learningto-rank model. ...

Exploring Tweets Normalization and Query Time Sensitivity for Twitter Search

Evaluating Real-Time Search over Tweets

Twitter offers a phenomenal platform for the social sharing of information. We describe new resources that have been created in the context of the Text Retrieval Conference (TREC) to support the academic study of Twitter as a real-time information source. We formalize an information seeking task—real-time search—and offer a methodology for measuring system effectiveness. At the TREC 2011 Microb...

Online Topic Modeling for Real-Time Twitter Search

This paper discusses the work done by a team at the University of Florida for the TREC 2011 Microblog Track. To build a real-time microblog search engine we rely on topic modeling for our search. To facilicate our algorithms we bundle similar tweets together in what we call supertweet generation. We perform online inference and offline inference depending on the time frame of the topical query....