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Category:  Main » Computers » Software » Information Retrieval » Ranking

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The Missing Link - A Probabilistic Model of Document Content and Hypertext Connectivity Popularity:    Hit: 72
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This paper describes a joint probabilistic model for modeling the contents and inter-connectivity of document collections such as sets of web pages or research paper archives. [PDF format]

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URL: http://www.cs.cmu.edu/~cohn/papers/nips00.pdf
Title:
Description: Computers, Software, Information Retrieval, Ranking - The Missing Link - A Probabilistic Model of Document Content and Hypertext Connectivity. This paper describes a joint probabilistic model for modeling the contents and inter-connectivity of document collections such as sets of web pages or research paper archives.
Specialized in:

 
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The Intelligent Surfer: Probabilistic Combination of Link and Content Information in PageRank (Popularity: ): This method uses query dependent importance scores and a probabilistic approach to improve upon PageRank. It pre-computes importance scores offline ...
Web Page Scoring Systems for Horizontal and Vertical Search (Popularity: ): "Random Surfer" model extension. At each step of traversal of the Web graph, the surfer can jump to a random ...
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Popular Sites
PageRank as a Random Walk (Popularity: ): A general framework for measuring the quality of an index and providing the background on the PageRank and Random Walks. ...
The Anatomy of a Large-Scale Hypertextual Web Search Engine (Popularity: ): The definitive paper by Sergey Brin and Lawrence Page describing PageRank, the algorithm that was later incorporated into the Google ...
The Clever Project (Popularity: ): The CLEVER search engine incorporates several algorithms that make use of hyperlink structure for discovering information on the Web. It ...
SALSA: The Stochastic Approach for Link-Structure Analysis (Popularity: ): A focused search algorithm (SALSA) based on Markov chains. It starts with a query on a broad topic, discards useless ...
Authoritative Sources in a Hyperlinked Environment (Popularity: ): HITs is a link-structure analysis algorithm which ranks pages by "authorities" (pages which have many incoming links and provide the ...


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