Web search: finding information in billions of pages
Pages 935 - 936
Abstract
Information retrieval, especially in the context of the Web, presents a host of challenges that must be addressed in order to better help people find relevant information in a growing sea of text. Such challenges include not only important issues in building large, scalable systems, but also providing intelligence to these systems to sift, organize, and present relevant information to users. We look at how many of the assumptions in traditional IR systems are challenged in the context of the web. Moreover, we specifically consider how using the richness of information available on the web, as well as the structures afforded in a hyperlinked environment can considerably impact the efficacy of web retrieval systems.
La recherche d'information, particulièrement sur le Web, représente un ensemble de défis qui doivent être relevés afin de mieux aider à la recherche d'information pertinente dans un nombre croissant de textes. De tels défis ont une influence non seulement sur la construction de grands systèmes extensibles, mais aussi sur l'apport de ces systèmes pour extraire, organiser, et présenter l'information pertinente aux utilisateurs. Nous examinerons les systèmes de recherche traditionnels par rapport à la recherche sur le Web. Nous montrerons comment nous travaillons chez Google, en donnant un aperçu de nos méthodes et de nos algorithmes. Profitant de ce que nous avons appris de la part de nos utilisateurs, nous discuterons de l'avenir de la recherche d'information sur le Web. Nous pourrons aussi décrire les APIs qui permettent aux chercheurs un accès aux index de Google.
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![cover image Guide Proceedings](/cms/asset/e085b865-12db-4629-a4e4-aaf520a02ebe/2816272.cover.jpg)
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LE CENTRE DE HAUTES ETUDES INTERNATIONALES D'INFORMATIQUE DOCUMENTAIRE
Paris, France
Publication History
Published: 26 April 2004
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