Short Query Expansion for Microblog Retrieval

Query Expansion for Microblog Retrieval

Entries in microblogging sites such as Twitter are very short: a “tweet ”can contain at most 140 characters. Given a user query, retrieving relevant tweets is particularly challenging since their extreme brevity exacerbates the well-known vocabulary mismatch problem. In this preliminary study, we explore standard query expansion approaches as a way to address this problem. Since the tweets are ...

Query-expansion Approaches for Microblog Retrieval

The School of Information and Library Science at the University of North Carolina at Chapel Hill submitted three runs to the “Scenario B” task of the TREC 2015 Microblog Track. The task simulates a scenario where a user specifies a topic of interest in the form of a keyword query and the system produces daily updates with at most 100 tweets about the topic of interest. Systems were responsible ...

Query Expansion for Microblog Retrieval: 2013

Microblog Retrieval Using Topical Features and Query Expansion

Retrieving information from Twitter is always challenging given its volume, inconsistent writing and noise. Existing systems focus on term-based approach, but important topical features such as person, proper noun and events are often neglected, leading to less satisfactory results while searching information from tweets. This paper propose a novelty feature extraction algorithm which targets t...

Query Expansion Based on a Feedback Concept Model for Microblog Retrieval

We tackle the problem of improving microblog retrieval algorithms by proposing a Feedback Concept Model for query expansion. In particular, we expand the query using knowledge information derived from Probase so that the expanded one could better reflect users’ search intent, which allows for microblog retrieval at a concept-level, rather than termlevel. In the proposed feedback concept model: ...