Finding Relevant Tweets

Deepak Padmanabhan, Sutanu Chakraborti

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)


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.
Original languageEnglish
Title of host publicationWeb-Age Information Management - 13th International Conference, WAIM 2012, Harbin, China, August 18-20, 2012. Proceedings.
Number of pages13
Publication statusPublished - 2012
EventWAIM 2012 - China, Harbin, China
Duration: 18 Aug 201220 Aug 2012


ConferenceWAIM 2012


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