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Event Entry
New for: D1, D2
What and Who
Information Retrieval on the World Wide Web
Dr. M. Henzinger
DIGITAL Systems Research Center
Informatik-Kolloquium
AG 1, AG 2
AG Audience
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Date, Time and Location
Saturday, 27 June 98
09:00
60 Minutes
45 - FB14
HS001
Saarbrücken
Abstract
Information retrieval is the process of helping users find, use, and understand information in a given document collection in order to satisfy an information need. On the web, conventional information retrieval techniques do not work as well as for conventional document collections, because of the large size of the web and the high degree of variety in document quality.
We discuss two information retrieval problems on the web and present novel solutions. First, we discuss the ranking problem, namely, the problem of ordering the web pages that are retrieved by a search engine by decreasing order of relevance to the user query. Second, we discuss the similarity problem, namely, the problem of finding web pages that are similar to a
given page. For both problems we present new algorithms, which for the first time combine connectivity analysis with content analysis. Connectivity analysis, which uses information about the hyperlink structure of the web, is based on graph algorithms; content analysis, which uses information about the contents of web pages, is based on conventional information retrieval techniques. According to a user study, our ranking algorithm increases the precision at 10 (i.e., the number of relevant pages within the first 10 pages) by 45% over the algorithms
currently in use.
We discuss two information retrieval problems on the web and present novel solutions. First, we discuss the ranking problem, namely, the problem of ordering the web pages that are retrieved by a search engine by decreasing order of relevance to the user query. Second, we discuss the similarity problem, namely, the problem of finding web pages that are similar to a
given page. For both problems we present new algorithms, which for the first time combine connectivity analysis with content analysis. Connectivity analysis, which uses information about the hyperlink structure of the web, is based on graph algorithms; content analysis, which uses information about the contents of web pages, is based on conventional information retrieval techniques. According to a user study, our ranking algorithm increases the precision at 10 (i.e., the number of relevant pages within the first 10 pages) by 45% over the algorithms
currently in use.
Contact
Christa Schaefer
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Tags, Category, Keywords and additional notes
Einladung zum Kolloquium des Fachbereichs Informatik
Am Samstag, den 27. Juni 1998, spricht um 9:00 Uhr in Hörsaal 001, Gebäude 45
Frau Dr. (Princeton University) M. Henzinger
DIGITAL Systems Research Center
http://www.research.digital.com/SRC/personal/Monika_Henzinger/home.html
über das Thema:
Information Retrieval on the World Wide Web
Abstract:
Information retrieval is the process of helping users find, use, and understand information in a given document collection in order to satisfy an information need. On the web, conventional information retrieval techniques do not work as well as for conventional document collections, because of the large size of the web and the high degree of variety in document quality.
We discuss two information retrieval problems on the web and present novel solutions. First, we discuss the ranking problem, namely, the problem of ordering the web pages that are retrieved by a search engine by decreasing order of relevance to the user query. Second, we discuss the similarity problem, namely, the problem of finding web pages that are similar to a
given page. For both problems we present new algorithms, which for the first time combine connectivity analysis with content analysis. Connectivity analysis, which uses information about the hyperlink structure of the web, is based on graph algorithms; content analysis, which uses information about the contents of web pages, is based on conventional information retrieval techniques. According to a user study, our ranking algorithm increases the precision at 10 (i.e., the number of relevant pages within the first 10 pages) by 45% over the algorithms
currently in use.
Interessenten/innen sind zum Vortrag herzlich eingeladen.
Die Dozenten/innen des Fachbereichs Informatik
Die Kolloquiumsankündigungen können auch unter http://www.cs.uni-sb.de/kolloquien/ gele-
sen werden.
Am Samstag, den 27. Juni 1998, spricht um 9:00 Uhr in Hörsaal 001, Gebäude 45
Frau Dr. (Princeton University) M. Henzinger
DIGITAL Systems Research Center
http://www.research.digital.com/SRC/personal/Monika_Henzinger/home.html
über das Thema:
Information Retrieval on the World Wide Web
Abstract:
Information retrieval is the process of helping users find, use, and understand information in a given document collection in order to satisfy an information need. On the web, conventional information retrieval techniques do not work as well as for conventional document collections, because of the large size of the web and the high degree of variety in document quality.
We discuss two information retrieval problems on the web and present novel solutions. First, we discuss the ranking problem, namely, the problem of ordering the web pages that are retrieved by a search engine by decreasing order of relevance to the user query. Second, we discuss the similarity problem, namely, the problem of finding web pages that are similar to a
given page. For both problems we present new algorithms, which for the first time combine connectivity analysis with content analysis. Connectivity analysis, which uses information about the hyperlink structure of the web, is based on graph algorithms; content analysis, which uses information about the contents of web pages, is based on conventional information retrieval techniques. According to a user study, our ranking algorithm increases the precision at 10 (i.e., the number of relevant pages within the first 10 pages) by 45% over the algorithms
currently in use.
Interessenten/innen sind zum Vortrag herzlich eingeladen.
Die Dozenten/innen des Fachbereichs Informatik
Die Kolloquiumsankündigungen können auch unter http://www.cs.uni-sb.de/kolloquien/ gele-
sen werden.