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Exploring Query Patterns in Email Search

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Part of the Lecture Notes in Computer Science book series (LNISA,volume 7224)

Abstract

Despite Email being the most popular communication medium currently in use and that people have been shown to regularly re-use messages, very little is known about how people actually search within email clients. In this paper we present a detailed analysis of email search behaviour obtained from a study of 47 users. We uncover a number of behavioral patterns that contrast with those previously observed in web search. From our findings, we describe ways in which email search could be improved and conclude with a short discussion of possible future work.

Keywords

  • Query Pattern
  • Levenshtein Distance
  • Lexical Similarity
  • Email Client
  • Search Engine Query

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Harvey, M., Elsweiler, D. (2012). Exploring Query Patterns in Email Search. In: Baeza-Yates, R., et al. Advances in Information Retrieval. ECIR 2012. Lecture Notes in Computer Science, vol 7224. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28997-2_3

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  • DOI: https://doi.org/10.1007/978-3-642-28997-2_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28996-5

  • Online ISBN: 978-3-642-28997-2

  • eBook Packages: Computer ScienceComputer Science (R0)