Top > Computers > Software > Information Retrieval > Ranking > By Content

» 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.

» 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]

» Exploring the Similarity Space - Evaluation of many combinations of term frequency statistics, document frequency statistics and document length normalization. [PDF]

» 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.

» Is This Document Relevant? ...Probably - A survey of probabilistic models in information retrieval. [PDF]

» Latent Semantic Indexing: a Probabilistic Analysis - Formal introduction to latent semantic indexing. [PS format]

» Probabilistic Models in Information Retrieval - Introduction to probabilistic models.

» Probabilistic Retrieval - A Chapter in a book which introduces probabilistic retrieval.

» 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.

» PageRank for Product Image Search - Conference paper by Yushi Jing and Shumeet Baluja. Includes full-text PDF download. (April 24, 2008)

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