Click data captures many users’ document preferences for a query and has been shown to help significantly improve search engine ranking. However, most click data is noisy and of...
We examine two basic sources for implicit relevance feedback on the segment level for search personalization: eye tracking and display time. A controlled study has been conducted ...
A recently published approach to adaptive page rank, using the solution of quadratic optimization methods with a set of simple constraints [3], is modified to permit classificatio...
Franco Scarselli, Ah Chung Tsoi, Markus Hagenbuchn...
This paper evaluates the robustness of learning from implicit feedback in web search. In particular, we create a model of user behavior by drawing upon user studies in laboratory ...
Understanding query ambiguity in web search remains an important open problem. In this paper we reexamine query ambiguity by analyzing the result clickthrough data. Previously pro...