Information Retrieval Tutorial
isp.imm.dtu.dk
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.
Document Ranking and the Vector-Space Model.
cs.ust.hk
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]
Probabilistic Models in Information Retrieval
is.informatik.uni-duisburg.de
Introduction to probabilistic models.
Probabilistic Retrieval
dcs.gla.ac.uk
A Chapter in a book which introduces probabilistic retrieval.
A Case Study in Web Search Using TREC Algorithms
www10.org
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.
Exploring the Similarity Space
goanna.cs.rmit.edu.au
Evaluation of many combinations of term frequency statistics, document frequency statistics and document length normalization. [PDF]
Latent Semantic Indexing: a Probabilistic Analysis
cs.berkeley.edu
Formal introduction to latent semantic indexing. [PS format]- Is This Document Relevant? ...Probably
dcs.gla.ac.uk
A survey of probabilistic models in information retrieval. [PDF] 
Ranking Algorithms
dcc.uchile.cl
"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.
|
