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WWW
2005
ACM
16 years 7 months ago
Thresher: automating the unwrapping of semantic content from the World Wide Web
We describe Thresher, a system that lets non-technical users teach their browsers how to extract semantic web content from HTML documents on the World Wide Web. Users specify exam...
Andrew Hogue, David R. Karger
KDD
2005
ACM
181views Data Mining» more  KDD 2005»
16 years 7 months ago
Evaluating similarity measures: a large-scale study in the orkut social network
Online information services have grown too large for users to navigate without the help of automated tools such as collaborative filtering, which makes recommendations to users ba...
Ellen Spertus, Mehran Sahami, Orkut Buyukkokten
IUI
2009
ACM
16 years 3 months ago
Predictive text input in a mobile shopping assistant: methods and interface design
The fundamental nature of grocery shopping makes it an interesting domain for intelligent mobile assistants. Even though the central role of shopping lists is widely recognized, r...
Petteri Nurmi, Andreas Forsblom, Patrik Flor&eacut...
CIKM
2009
Springer
16 years 1 months ago
Topic and keyword re-ranking for LDA-based topic modeling
Topic-based text summaries promise to help average users quickly understand a text collection and derive insights. Recent research has shown that the Latent Dirichlet Allocation (...
Yangqiu Song, Shimei Pan, Shixia Liu, Michelle X. ...
CIKM
2009
Springer
16 years 1 months ago
Characterizing and predicting search engine switching behavior
Search engine switching describes the voluntarily transition from one Web search engine to another. In this paper we present a study of search engine switching behavior that combi...
Ryen W. White, Susan T. Dumais