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A Feature-Centric View of Information Retrieval

A Feature-Centric View of Information Retrieval


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About the Book

Introduction.- Classical Retrieval Models.- Feature-Based Ranking.- Feature-Based Query Expanion.- Query-Dependent Feature Weighting.- Model Learning.
About the Author:

Donald Metzler is a Research Scientist in the Natural Language Group at the University of Southern California's Information Sciences Institute. Prior to that he was a Research Scientist in the Search and Computational Advertising group at Yahoo! Research. He received his Ph.D. from the University of Massachusetts in 2007. He is an active member of the information retrieval and Web search communities, having served on the program committees of SIGIR, WWW, WSDM, HLT, EMNLP, and ICML. He has published over 35 research papers, and has 16 patents pending. His research interests include information retrieval, Web search, computational advertising, and applications of machine learning to large-scale text problems.


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Product Details
  • ISBN-13: 9783642228971
  • Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
  • Binding: Hardback
  • Edition: 2012
  • Language: English
  • Returnable: Y
  • Spine Width: 11 mm
  • Width: 156 mm
  • ISBN-10: 3642228976
  • Publisher Date: 04 Sep 2011
  • Depth: 13
  • Height: 234 mm
  • No of Pages: 168
  • Series Title: Information Retrieval
  • Weight: 480 gr


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A Feature-Centric View of Information Retrieval

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