HU_DB at TREC 2014 Microblog Track

Jennifer Klein, Yishai Oltchik, Nerya Or, Sara Cohen

Research output: Contribution to conferencePaperpeer-review


This paper describes our system for the Tweet Timeline Generation (TTG) task of the Microblog track, at the Text Retrieval Conference (TREC) 2014. Intuitively, given a collection of microblog posts (i.e., tweets), and a keyword query Q, the goal is to generate a timeline of related tweets. Such a timeline consists of representative tweets, relevant to Q. In our system we employ query expansion to identify highly relevant tweets, and then use affinity propagation to cluster the tweets, based on their word similarity, hashtag similarity and temporal similarity. We then return a representative tweet from each cluster. The result is a system with relatively good precision, but, unfortunately, poor recall. We discuss the techniques employed, as well as the insights gleaned while developing and testing our system.

Original languageAmerican English
StatePublished - 2014
Event23rd Text REtrieval Conference, TREC 2014 - Gaithersburg, United States
Duration: 19 Nov 201421 Nov 2014


Conference23rd Text REtrieval Conference, TREC 2014
Country/TerritoryUnited States

Bibliographical note

Publisher Copyright:
© 2014 23rd Text REtrieval Conference, TREC 2014 - Proceedings. All rights reserved.


Dive into the research topics of 'HU_DB at TREC 2014 Microblog Track'. Together they form a unique fingerprint.

Cite this