Merging search results

作者: Milad Shokouhi , Michael J. Taylor , Filiip Radlinski

DOI:

关键词:

摘要: Merging search results is required, for example, where an information retrieval system issues a query to multiple sources and obtains lists. In embodiment engine at Enterprise domain sends the also public Internet engine. embodiments, lists obtained from different are merged using merging model which learnt machine learning process updates when click-through data observed example. examples, user available in used influence improve relevance of results. some modification. able impersonate specified group order promote particular

参考文章(63)
David Maxwell Chickering, Robert L. Rounthwaite, David E. Heckerman, Bo Thiesson, Christopher A. Meek, Bayesian approach for learning regression decision graph models and regression models for time series analysis ,(2002)
Alexander L. Strehl, Sharad Goel, John Langford, Sham Kakade, Personalized web search ranking ,(2009)
Kevin Richard Bess, David Alan Falk, Gregory Douglas Fast, System and method for performing data searches using multiple data search providers ,(2007)
Ali Dasdan, Santanu Kolay, Search results with most clicked next objects ,(2009)
Ralf Vierich, Mohsen Rais-Ghasem, Boris Dachevski, System and method for controlling model editing and merging ,(2006)
Fabio Ciravegna, Vitaveska Lanfranchi, Ravish Bhagdev, Daniela Petrelli, Samuel John Chapman, Searching method and system ,(2008)
Jeremy Schiff, Dominic Antonelli, Justin Fiedler, Neil Warren, Sharam Shirazi, Jonathan Burgstone, Heston Liebowitz, System and method for advertisement delivery optimization ,(2008)