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Search Engines that Learn from Implicit Feedback

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2 Author(s)
Joachims, T. ; Cornell Univ., Ithaca ; Radlinski, F.

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.

Published in:

Computer  (Volume:40 ,  Issue: 8 )