Information navigation on the web by clustering and summarizing query results

Dmitri G. Roussinov; Hsinchun Chen

doi:10.1016/S0306-4573(00)00062-5

Information navigation on the web by clustering and summarizing query results

Dmitri G. Roussinov, Hsinchun Chen

Research output: Contribution to journal › Article › peer-review

54 Scopus citations

Abstract

We report our experience with a novel approach to interactive information seeking that is grounded in the idea of summarizing query results through automated document clustering. We went through a complete system development and evaluation cycle: designing the algorithms and interface for our prototype, implementing them and testing with human users. Our prototype acted as an intermediate layer between the user and a commercial Internet search engine (Alta Vista), thus allowing searches of the significant portion of World Wide Web. In our final evaluation, we processed data from 36 users and concluded that our prototype improved search performance over using the same search engine (AltaVista) directly. We also analyzed effects of various related demographic and task related parameters.

Original language	English (US)
Pages (from-to)	789-816
Number of pages	28
Journal	Information Processing and Management
Volume	37
Issue number	6
DOIs	https://doi.org/10.1016/S0306-4573(00)00062-5
State	Published - Nov 2001

Keywords

Clustering
Information retrieval
Internet spiders
Neural networks
Relevance feedback
Search engines
Summarization
World Wide Web

ASJC Scopus subject areas

Information Systems
Media Technology
Computer Science Applications
Management Science and Operations Research
Library and Information Sciences

Access to Document

10.1016/S0306-4573(00)00062-5

Cite this

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title = "Information navigation on the web by clustering and summarizing query results",

abstract = "We report our experience with a novel approach to interactive information seeking that is grounded in the idea of summarizing query results through automated document clustering. We went through a complete system development and evaluation cycle: designing the algorithms and interface for our prototype, implementing them and testing with human users. Our prototype acted as an intermediate layer between the user and a commercial Internet search engine (Alta Vista), thus allowing searches of the significant portion of World Wide Web. In our final evaluation, we processed data from 36 users and concluded that our prototype improved search performance over using the same search engine (AltaVista) directly. We also analyzed effects of various related demographic and task related parameters.",

keywords = "Clustering, Information retrieval, Internet spiders, Neural networks, Relevance feedback, Search engines, Summarization, World Wide Web",

author = "Roussinov, {Dmitri G.} and Hsinchun Chen",

note = "Funding Information: This research was supported by the following grants: NSF/DARPA/NASA Digital Library Initiative, IRI-9411318, and DARPA Information Management Program, N66001-97-C-8535. ",

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AU - Chen, Hsinchun

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KW - Clustering

KW - Information retrieval

KW - Internet spiders

KW - Neural networks

KW - Relevance feedback

KW - Search engines

KW - Summarization

KW - World Wide Web

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Information navigation on the web by clustering and summarizing query results

Abstract

Keywords

ASJC Scopus subject areas

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