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WEBNET
2001
13 years 9 months ago
Deriving Context Specific Information on the Web
: The Web is huge, unstructured and diverse in quality, which makes searching for information difficult. In practice, few of the documents returned by a search engine are valuable ...
Christo Dichev, Darina Dicheva
AINA
2007
IEEE
14 years 2 months ago
DHTs over Peer Clusters for Distributed Information Retrieval
Distributed Hash Tables (DHTs) are very efficient for querying based on key lookups, if only a small number of keys has to be registered by each individual peer. However, building...
Odysseas Papapetrou, Wolf Siberski, Wolf-Tilo Balk...
SIGIR
2012
ACM
11 years 10 months ago
Creating temporally dynamic web search snippets
Content on the Internet is always changing. We explore the value of biasing search result snippets towards new webpage content. We present results from a user study comparing trad...
Krysta Marie Svore, Jaime Teevan, Susan T. Dumais,...
SIGIR
2010
ACM
13 years 11 months ago
Combining coregularization and consensus-based self-training for multilingual text categorization
We investigate the problem of learning document classifiers in a multilingual setting, from collections where labels are only partially available. We address this problem in the ...
Massih-Reza Amini, Cyril Goutte, Nicolas Usunier
PAMI
2012
11 years 10 months ago
IntentSearch: Capturing User Intention for One-Click Internet Image Search
—Web-scale image search engines (e.g. Google Image Search, Bing Image Search) mostly rely on surrounding text features. It is difficult for them to interpret users’ search int...
Xiaoou Tang, Ke Liu, Jingyu Cui, Fang Wen, Xiaogan...