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Research on Search

My study of machine learning, data mining, computational linguistics and information retrieval, towards the grand goal of developing the "perfect search engine" that "understands exactly what you mean and gives you back exactly what you want" (Larry Page).

Monday, December 26, 2005

Information Retrieval Textbooks

  • C. J. "Keith" van Rijsbergen, Information Retrieval. Classic. Free online.
  • Bill Frakes and Ricardo Baeza-Yates, Information Retrieval Data Structures & Algorithms. Technical. With source code.
  • Ricardo Baeza-Yates and Berthier Ribeiro-Neto, Modern Information Retrieval. Popular.
  • Ian H. Witten, Alistair Moffat and Timothy C. Bell, Managing Gigabytes: Compressing and Indexing Documents and Images. Tight integration with data compression. Its companion software MG is open source and wide-spreaded.
  • William Hersh, Information Retrieval: A Health and Biomedical Perspective. Primer. Domain specific.
  • Peter Jackson and Isabelle Moulinier, Natural Language Processing for Online Applications: Text Retrieval, Extraction & Categorization. Biased to text mining.
  • David A. Grossman, Ophir Frieder. Information Retrieval : Algorithms and Heuristic in the Springer The Information Retrieval Series. A very clear "fundamentals" book for students and practitioners.
  • Richard K. Belew, Find Out About: Search Engine Technology from a Cognitive Perspective.
  • Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze. Introduction to Information Retrieval. On the way. Desirable
  • ?

Posted by Dell Zhang at 11:35 pm 1 comments
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