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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Disambiguating Search by Leveraging a Social Context Based on the Stream of User’s Activity
verfasst von : Tomáš Kramár, Michal Barla, Mária Bieliková
Erschienen in: User Modeling, Adaptation, and Personalization
Verlag: Springer Berlin Heidelberg
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Older studies have proved that when searching information on the Web, users tend to write short queries, unconsciously trying to minimize the cognitive load. However, as these short queries are very ambiguous, search engines tend to find the most popular meaning – someone who does not know anything about cascading stylesheets might search for a music band called
css
and be very surprised about the results. In this paper we propose a method which can infer additional keywords for a search query by leveraging a social network context and a method to build this network from the stream of user’s activity on the Web.