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Exploring Client-Side Instrumentation for Personalized Search Intent Inference: Preliminary Experiments
 

Summary: Exploring Client-Side Instrumentation for Personalized Search Intent Inference:
Preliminary Experiments
Qi Guo and Eugene Agichtein
Mathematics & Computer Science Department
Emory University
{qguo3,eugene}@mathcs.emory.edu
Abstract
Clickthrough on search results have been successfully
used to infer user interest and preferences, but are often
noisy and potentially ambiguous. The reason mainly
lies in that the clickthrough features are inherently a rep-
resentation of the majority of user intents, rather than
the intent of the individual users for a given query in-
stance. In this paper, we explore how to recover person-
alized user intent for each search instance, using a more
sensitive and rich client-side instrumentation (including
mouse movements) to provide additional insights into
the intent behind each query instance. We report pre-
liminary results of rich instrumentation over search re-
sult pages, with the goal of inferring user intent - in par-

  

Source: Agichtein, Eugene - Department of Mathematics and Computer Science, Emory University

 

Collections: Computer Technologies and Information Sciences