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Acquiring Knowledge About Explicit User Goals from Search Query Logs
BibTeX
@MISC{Strohmaier_acquiringknowledge,
author = {Markus Strohmaier and Peter Prettenhofer and Mark Kröll},
title = {Acquiring Knowledge About Explicit User Goals from Search Query Logs},
year = {}
}
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Abstract
Access to knowledge about user goals represents a critical component for realizing the vision of intelligent agents acting upon user intent on the web. Yet, the acquisition of knowledge about user goals represents a major challenge. In a departure from existing approaches, this paper proposes a novel perspective for knowledge acquisition: The utilization of search query logs for this task. The research presented in this paper makes the following contributions: (a) it presents an automatic method for the acquisition of user goals from search query logs with useful precision/recall scores (b) it provides insights into the nature and some characteristics of these goals and (c) it shows that the goals acquired from query logs exhibit traits of a long tail distribution, thereby providing access to a broad range of user goals. We conclude that our work has implications for open research problems such as common sense knowledge acquisition and studies of user intent in query logs.
Keyphrases
search query log user goal explicit user goal query log user intent broad range automatic method common sense knowledge acquisition open research problem useful precision recall score long tail distribution intelligent agent critical component knowledge acquisition following contribution novel perspective major challenge
