Twitter serves over 1.6 billion searches each day, ranking tweets for display to the user in reverse-chronological order. However, finding relevant tweets can be a challenging task, since the relevance of a tweet is dependant both on its content and whether it links to a useful document. In this paper, we investigate how the content of documents hyperlinked from a tweet can be used to better estimate that tweet’s relevance. In particular, we propose three approaches for incorporating the content of hyperlinked documents when ranking tweets. Within the context of the TREC 2011 and 2012 Microblog Tracks, we thoroughly evaluate to what extent hyperlinked documents can aid tweet retrieval effectiveness. Our results show that the application of hyperlinked documents can improve retrieval effectiveness over using the tweet content alone as well as using the presence of a URL within the tweet as a feature.
Richard McCreadie, Craig Macdonald
Relevance in Microblogs: Enhancing Tweet Retrieval using Hyperlinked Documents
In Proceedings of OAIR 2013
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