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Improvements and extras Paul Thomas CSIRO. Overview of the lectures 1.Introduction to information retrieval (IR) 2.Ranked retrieval 3.Probabilistic retrieval.
Tutorial 1 (information retrieval basics)
Reverted Indexing for Expansion and Feedback
Ten New Opportunities in Social Media & Search Marketing
Probabilistic Information Retrieval Part I: Survey Alexander Dekhtyar department of Computer Science University of Maryland.
A Novel TF-IDF Weighting Scheme for Effective Ranking Jiaul H. Paik Indian Statistical Institute, Kolkata, India [email protected] SIGIR’2013 Presenter:
Introduction to Information Retrieval Information Retrieval and Data Mining (AT71.07) Comp. Sc. and Inf. Mgmt. Asian Institute of Technology Instructor:
1 The Four Dimensions of Search Engine Quality Jan Pedersen Chief Scientist, Yahoo! Search 19 September 2005.
What is coming… n Today: u Probabilistic models u Improving classical models F Latent Semantic Indexing F Relevance feedback (Chapter 5) n Monday Feb 5.
SIGIR 2005 Relevance Information: A Loss of Entropy but a Gain for IDF? Arjen P. de Vries [email protected] Thomas Roelleke, [email protected].
Retrieval Models II Vector Space, Probabilistic. Allan, Ballesteros, Croft, and/or Turtle Properties of Inner Product The inner product is unbounded.
