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A taxonomy of web search

by Andrei Broder - SIGIR FORUM , 2002
"... Classic IR (information retrieval) is inherently predicated on users searching for information, the socalled "information need". But the need behind a web search is often not informational -- it might be navigational (give me the url of the site I want to reach) or transactional (show me s ..."
Abstract - Cited by 655 (4 self) - Add to MetaCart
Classic IR (information retrieval) is inherently predicated on users searching for information, the socalled "information need". But the need behind a web search is often not informational -- it might be navigational (give me the url of the site I want to reach) or transactional (show me

Scaling Personalized Web Search

by Glen Jeh, Jennifer Widom - In Proceedings of the Twelfth International World Wide Web Conference , 2002
"... Recent web search techniques augment traditional text matching with a global notion of "importance" based on the linkage structure of the web, such as in Google's PageRank algorithm. For more refined searches, this global notion of importance can be specialized to create personalized ..."
Abstract - Cited by 409 (2 self) - Add to MetaCart
Recent web search techniques augment traditional text matching with a global notion of "importance" based on the linkage structure of the web, such as in Google's PageRank algorithm. For more refined searches, this global notion of importance can be specialized to create personalized

The anatomy of a large-scale hypertextual web search engine.

by Sergey Brin , Lawrence Page - Comput. Netw. ISDN Syst., , 1998
"... Abstract In this paper, we present Google, a prototype of a large-scale search engine which makes heavy use of the structure present in hypertext. Google is designed to crawl and index the Web efficiently and produce much more satisfying search results than existing systems. The prototype with a fu ..."
Abstract - Cited by 4673 (5 self) - Add to MetaCart
Abstract In this paper, we present Google, a prototype of a large-scale search engine which makes heavy use of the structure present in hypertext. Google is designed to crawl and index the Web efficiently and produce much more satisfying search results than existing systems. The prototype with a

Context in Web Search

by Steve Lawrence - IEEE Data Engineering Bulletin
"... Web search engines generally treat search requests in isolation. The results for a given query are identical, independent of the user, or the context in which the user made the request. Nextgeneration search engines will make increasing use of context information, either by using explicit or implici ..."
Abstract - Cited by 157 (0 self) - Add to MetaCart
Web search engines generally treat search requests in isolation. The results for a given query are identical, independent of the user, or the context in which the user made the request. Nextgeneration search engines will make increasing use of context information, either by using explicit

Challenges in Web Search Engines

by Monika R. Henzinger, Rajeev Motwani, Craig Silverstein , 2002
"... This article presents a high-level discussion of some problems in information retrieval that are unique to web search engines. The goal is to raise awareness and stimulate research in these areas. ..."
Abstract - Cited by 128 (0 self) - Add to MetaCart
This article presents a high-level discussion of some problems in information retrieval that are unique to web search engines. The goal is to raise awareness and stimulate research in these areas.

WEB SEARCH

by Alexandros Ntoulas, Michalis Vazirgiannis
"... The Web today plays a central part in the cultural, educational and commercial life of millions of users. Due to the astonishing amount of information available on the Web, users typically rely on the Web search engines in order to locate relevant and useful information. A Web search engine’s task i ..."
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The Web today plays a central part in the cultural, educational and commercial life of millions of users. Due to the astonishing amount of information available on the Web, users typically rely on the Web search engines in order to locate relevant and useful information. A Web search engine’s task

Learning to cluster web search results

by Gaojie He, Co-supervisor Robert Neumayer, Gaojie He, Robert Neumayer, Kjetil Norvag - In Proc. of SIGIR ’04 , 2004
"... In web search, surfers are often faced with the problem of selecting their most wanted information from the potential huge amount of search results. The clustering of web search results is the possible solution, but the traditional content based clustering is not sufficient since it ignores many uni ..."
Abstract - Cited by 195 (7 self) - Add to MetaCart
In web search, surfers are often faced with the problem of selecting their most wanted information from the potential huge amount of search results. The clustering of web search results is the possible solution, but the traditional content based clustering is not sufficient since it ignores many

Web Search

by Vladimir A. Fomichov, Anton V. Kirillov
"... The paper describes a new method of constructing semantic expansions of search requests for improving the results of Web search. This method is based on the theory of K-representations- a new theory of designing semantic-syntactic analyzers of natural language texts with the broad use of formal mean ..."
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The paper describes a new method of constructing semantic expansions of search requests for improving the results of Web search. This method is based on the theory of K-representations- a new theory of designing semantic-syntactic analyzers of natural language texts with the broad use of formal

for Web Search

by Vishwa Vinay, Ken Wood, Natasa Milic-frayling, Ingemar J. Cox
"... We evaluate three different relevance feedback (RF) algorithms, Rocchio, Robertson/Sparck-Jones (RSJ) and Bayesian, in the context of Web search. We use a target-testing experimental procedure whereby a user must locate a specific document. For user relevance feedback, we consider all possible user ..."
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We evaluate three different relevance feedback (RF) algorithms, Rocchio, Robertson/Sparck-Jones (RSJ) and Bayesian, in the context of Web search. We use a target-testing experimental procedure whereby a user must locate a specific document. For user relevance feedback, we consider all possible user

Web Search

by n.n.
"... Apart from an occasional example or exercise, the preceding chapters deal with information retrieval in a generic context. We assume the IR system contains a collection of documents, with each document represented by a sequence of tokens. Markup may indicate titles, authors, and other structural ele ..."
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elements. We assume nothing further about the IR system’s operating environment or the documents it contains. In this chapter we consider IR in the specific context of Web search, the context in which it may be most familiar to you. Assuming this specific context provides us with the benefit of document
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