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SIGIR
2005
ACM
14 years 1 months ago
Personalizing search via automated analysis of interests and activities
We formulate and study search algorithms that consider a user’s prior interactions with a wide variety of content to personalize that user’s current Web search. Rather than re...
Jaime Teevan, Susan T. Dumais, Eric Horvitz
WWW
2003
ACM
14 years 8 months ago
Using Top-Ranking Sentences for Web Search Result Presentation
In this poster we propose a granular approach for presenting web search results. Sentences, taken from the top documents, are used as fine-grained representations of document cont...
Ryen W. White, Joemon M. Jose, Ian Ruthven
JCDL
2006
ACM
143views Education» more  JCDL 2006»
14 years 1 months ago
Categorizing web search results into meaningful and stable categories using fast-feature techniques
When search results against digital libraries and web resources have limited metadata, augmenting them with meaningful and stable category information can enable better overviews ...
Bill Kules, Jack Kustanowitz, Ben Shneiderman
IJWGS
2010
116views more  IJWGS 2010»
13 years 5 months ago
Constructing Feature Vectors for search: investigating intrinsic quality impact on search performance
Abstract: In this paper, we revisit our approach to construction of semanticlinguistic Feature Vectors (FVs) used to enhance Web search. These FVs are built based on domain semanti...
Stein L. Tomassen, Darijus Strasunskas
AGENTS
1998
Springer
13 years 12 months ago
WebMate: A Personal Agent for Browsing and Searching
The World-Wide Web is developing very fast. Currently, nding useful information on the Web is a time consuming process. In this paper, we present WebMate, an agent that helps user...
Liren Chen, Katia P. Sycara