Evaluating the Robustness of Learning from Implicit Feedback
<|reference_start|>Evaluating the Robustness of Learning from Implicit Feedback: 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.<|reference_end|>
@article{radlinski2006evaluating,
    title={Evaluating the Robustness of Learning from Implicit Feedback},
    author={Filip Radlinski and Thorsten Joachims},
    journal={arXiv preprint arXiv:cs/0605036},
    year={2006},
    archivePrefix={arXiv},
    eprint={cs/0605036},
    primaryClass={cs.LG cs.IR}
}