论文信息 - Search Engines that Learn from Implicit Feedback

Search Engines that Learn from Implicit Feedback

Search-engine logs provide a wealth of information that machine-learning techniques can harness to improve search quality. With proper interpretations that avoid inherent biases, a search engine can use training data extracted from the logs to automatically tailor ranking functions to a particular user group or collection.

Filip Radlinski | Thorsten Joachims | T. Joachims | Filip Radlinski

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