Task-aware search personalization

Search personalization has been pursued in many ways, in order to provide better result rankings and better overall search experience to individual users [5]. However, blindly applying personalization to all user queries, for example, by a background model derived from the user's long-term query-and-click history, is not always appropriate for aiding the user in accomplishing her actual task. User interests change over time, a user sometimes works on very different categories of tasks within a short timespan, and historybased personalization may impede a user's desire of discovering new topics. In this paper we propose a personalization framework that is selective in a twofold sense. First, it selectively employs personalization techniques for queries that are expected to benefit from prior history information, while refraining from undue actions otherwise. Second, we introduce the notion of tasks representing different granularity levels of a user profile, ranging from very...

• Type: Journal
• Year: 2008
• Where: SIGIR
• Authors: Julia Luxenburger, Shady Elbassuoni, Gerhard Weikum
• Keywords: Information Technology, Personalization, Search Personalization, SIGIR 2008, User