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» WIM: An Information Mining Model for the Web
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WSDM
2010
ACM
194views Data Mining» more  WSDM 2010»
14 years 5 months ago
Ranking with Query-Dependent Loss for Web Search
Queries describe the users' search intent and therefore they play an essential role in the context of ranking for information retrieval and Web search. However, most of exist...
Jiang Bian, Tie-Yan Liu, Tao Qin, Hongyuan Zha
AUSDM
2008
Springer
243views Data Mining» more  AUSDM 2008»
13 years 9 months ago
Structure-Based Document Model with Discrete Wavelet Transforms and Its Application to Document Classification
Term signal is an existing text representation that depicts a term as a vector of frequencies of occurrences in a number of user-defined partitions of a document. Although term si...
Supphachai Thaicharoen, Tom Altman, Krzysztof J. C...
WSDM
2010
ACM
197views Data Mining» more  WSDM 2010»
14 years 2 months ago
Beyond DCG: user behavior as a predictor of a successful search
Web search engines are traditionally evaluated in terms of the relevance of web pages to individual queries. However, relevance of web pages does not tell the complete picture, si...
Ahmed Hassan, Rosie Jones, Kristina Lisa Klinkner
WWW
2009
ACM
14 years 8 months ago
Combining anchor text categorization and graph analysis for paid link detection
In order to artificially boost the rank of commercial pages in search engine results, search engine optimizers pay for links to these pages on other websites. Identifying paid lin...
Kirill Nikolaev, Ekaterina Zudina, Andrey Gorshkov
ICWSM
2009
13 years 5 months ago
From Generating to Mining: Automatically Scripting Conversations Using Existing Online Sources
Hearing people argue opposing sides of an issue can be a useful way to understand the topic; however, these debates or conversations often don't exist. Unfortunately, generat...
Nathan D. Nichols, Lisa M. Gandy, Kristian J. Hamm...