Probabilistic Models in Information Retrieval
Introduction to probabilistic models.
http://www.is.informatik.uni-duisburg.de/bib/xml/Fuhr_92.html
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Information Retrieval Tutorial
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.
http://isp.imm.dtu.dk/thor/projects/multimedia/textmining/
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Document Ranking and the Vector-Space Model.
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]
http://www.cs.ust.hk/~dlee/Papers/ir/ieee-sw-rank.ps.gz
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Is This Document Relevant? ...Probably
A survey of probabilistic models in information retrieval. [PDF format]
http://www.dcs.gla.ac.uk/~iain/papers/98-csur.pdf
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Latent Semantic Indexing: a Probabilistic Analysis
Formal introduction to latent semantic indexing. [PS format]
http://www.cs.berkeley.edu/~christos/ir.ps
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Probabilistic Retrieval
A Chapter in a book which introduces probabilistic retrieval.
http://www.dcs.gla.ac.uk/Keith/Chapter.6/Ch.6.html
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Ranking Algorithms
"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.
http://www.dcc.uchile.cl/~rbaeza/iradsbook/irbook.html
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Exploring the Similarity Space
Evaluation of many combinations of term frequency statistics, document frequency statistics and document length normalization. [PDF format]
http://goanna.cs.rmit.edu.au/~jz/fulltext/sigirforum98.pdf
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A Case Study in Web Search Using TREC Algorithms
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.
http://www.www10.org/cdrom/papers/317/
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