Evaluating the Robustness of Learning from Implicit Feedback

Details Evaluating the Robustness of Learning from Implicit Feedback Evaluating the Robustness of Learning from Implicit Feedback

2006-05-08

arxiv.org/abs/cs/0605036v1

Computer Science

Learning

8 pages, Presented at ICML Workshop on Learning In Web Search, 2005

Scientific paper

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 and real-world settings. The model is used to understand the effect of user behavior on the performance of a learning algorithm for ranked retrieval. We explore a wide range of possible user behaviors and find that learning from implicit feedback can be surprisingly robust. This complements previous results that demonstrated our algorithm's effectiveness in a real-world search engine application.

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