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  Probabilistic Retrieval http://www.dcs.gla.ac.uk/Keith/Chapter.6/Ch.6.html
A Chapter in a book which introduces probabilistic retrieval.
  Latent Semantic Indexing: a Probabilistic Analysis http://www.cs.berkeley.edu/~christos/ir.ps
Formal introduction to latent semantic indexing. [PS format]
  Ranking Algorithms http://www.dcc.uchile.cl/~rbaeza/iradsbook/irbook.html
"Ranking Algorithms" is chapter 14 in the Frakes and Baeza-Yates book. It gives a good discussion of the tradeoffs and choices among different term-weighting strategies.
  A Case Study in Web Search Using TREC Algorithms http://www.www10.org/cdrom/papers/317/
This study evaluates the performance of a state-of-the-art keyword-based document ranking algorithm (coming out of TREC) on a popular web search task.
  Probabilistic Models in Information Retrieval http://www.is.informatik.uni-duisburg.de/bib/docs/Fuhr_92.html
Introduction to probabilistic models.
  Information Retrieval Tutorial http://isp.imm.dtu.dk/thor/projects/multimedia/textmining/
Description of boolean retrieval, vector space model, probabilistic retrieval, latent semantic indexing and other IR topics. An introduction to various classical ranking methods is also provided.
  Exploring the Similarity Space http://goanna.cs.rmit.edu.au/~jz/fulltext/sigirforum98.pdf
Evaluation of many combinations of term frequency statistics, document frequency statistics and document length normalization.
  Is This Document Relevant? ...Probably http://www.dcs.gla.ac.uk/~iain/papers/98-csur.pdf
A survey of probabilistic models in information retrieval.
  Document Ranking and the Vector-Space Model. http://www.cs.ust.hk/~dlee/Papers/ir/ieee-sw-rank.ps.gz
It describes key issues in document ranking techniques based on the vector­ space model. Several TF*IDF variants are discussed. The cosine measure, recall and precision are introduced. [PS format]

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