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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.
	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.

	Probabilistic Models in Information Retrieval - http://www.is.informatik.uni-duisburg.de/bib/docs/Fuhr_92.html Introduction to probabilistic models.
	A Case Study in Web Search Using TREC Algorithms - http://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.
	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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