Header menu link for other important links
X
Finding relevant tweets
Published in
2012
Volume: 7418 LNCS
   
Pages: 228 - 240
Abstract
When a user of a microblogging site authors a microblog post or browses through a microblog post, it provides cues as to what topic she is interested in at that point in time. Example-based search that retrieves similar tweets given one exemplary tweet, such as the one just authored, can help provide the user with relevant content. We investigate various components of microblog posts, such as the associated timestamp, author's social network, and the content of the post, and develop approaches that harness such factors in finding relevant tweets given a query tweet. An empirical analysis of such techniques on real world twitter-data is then presented to quantify the utility of the various factors in assessing tweet relevance. We observe that content-wise similar tweets that also contain extra information not already present in the query, are perceived as useful. We then develop a composite technique that combines the various approaches by scoring tweets using a dynamic query-specific linear combination of separate techniques. An empirical evaluation establishes the effectiveness of the composite technique, and that it outperforms each of its constituents. © 2012 Springer-Verlag.
About the journal
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN03029743
Open AccessNo
Concepts (9)
  •  related image
    Empirical analysis
  •  related image
    Empirical evaluations
  •  related image
    Linear combinations
  •  related image
    MICRO-BLOG
  •  related image
    MICROBLOGGING
  •  related image
    Social networks
  •  related image
    TIME-STAMP
  •  related image
    Artificial intelligence
  •  related image
    Information management