Search Engines that Learn from Implicit Feedback

  • Thorsten Joachims ,
  • Filip Radlinski

Computer | , Vol 40(8): pp. 34-40

Publication

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.