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  1. Proceedings of the 8th annual ACM international workshop on Web information and data management (WIDM '06)
  2. Pushing task relevant web links down to the desktop
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The power of structured data on the web
Bridging relational database history and the web: the XML approach
Ranking target objects of navigational queries
Identifying redundant search engines in a very large scale metasearch engine context
An architecture for creating collaborative semantically capable scientific data sharing infrastructures
Efficient evaluation of n-ary conjunctive queries over trees and graphs
Coarse-grained classification of web sites by their structural properties
Pushing task relevant web links down to the desktop
The GEON portal: accelerating knowledge discovery in the geosciences
SRI: exploiting semantic information for effective query routing in a PDMS
Efficient, automatic web resource harvesting
Lazy preservation: reconstructing websites by crawling the crawlers

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Pushing task relevant web links down to the desktop

Content Provider ACM Digital Library
Author Chirita, Paul - Alexandru Nejdl, Wolfgang Firan, Claudiu S.
Abstract Searching the web has become a task in many people's work, without which subsequent tasks would be hard to carry out or even impossible. But as people tend to have less time for querying the web or even for searching their personal computer for information they need, it becomes common to skip information gathering activities like trying to find useful resources on the web because of the "effort" it takes to query a web search engine. In this paper we propose to use software agents that collect useful web specific related information which would otherwise not be viewed at all. More specifically, we present two new algorithms to automatically search the web and recommend URLs relevant to user's current work, defined through his or her active personal desktop documents. Our experiments show our proposed algorithms, Sentence Selection and Lexical Compounds, to yield significant improvement over simple Term Frequency based web query generation, which we used as a baseline.
Starting Page 59
Ending Page 66
Page Count 8
File Format PDF
ISBN 1595935258
DOI 10.1145/1183550.1183563
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2006-11-10
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Just-in-time information retrieval Personalized web search User profile Document summarization
Content Type Text
Resource Type Article
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