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» Information Retrieval and Artificial Intelligence
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SIGIR
2003
ACM
15 years 12 months ago
Text categorization by boosting automatically extracted concepts
Term-based representations of documents have found widespread use in information retrieval. However, one of the main shortcomings of such methods is that they largely disregard le...
Lijuan Cai, Thomas Hofmann
CIKM
2005
Springer
16 years 4 days ago
Implicit user modeling for personalized search
Information retrieval systems (e.g., web search engines) are critical for overcoming information overload. A major deficiency of existing retrieval systems is that they generally...
Xuehua Shen, Bin Tan, ChengXiang Zhai
WWW
2009
ACM
16 years 7 months ago
Extracting article text from the web with maximum subsequence segmentation
Much of the information on the Web is found in articles from online news outlets, magazines, encyclopedias, review collections, and other sources. However, extracting this content...
Jeff Pasternack, Dan Roth
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
16 years 7 months ago
Using retrieval measures to assess similarity in mining dynamic web clickstreams
While scalable data mining methods are expected to cope with massive Web data, coping with evolving trends in noisy data in a continuous fashion, and without any unnecessary stopp...
Olfa Nasraoui, Cesar Cardona, Carlos Rojas
WSDM
2009
ACM
138views Data Mining» more  WSDM 2009»
16 years 1 months ago
Adaptive subjective triggers for opinionated document retrieval
This paper proposes a novel application of a statistical language model to opinionated document retrieval targeting weblogs (blogs). In particular, we explore the use of the trigg...
Kazuhiro Seki, Kuniaki Uehara