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IPM
2008
100views more  IPM 2008»
15 years 6 months ago
Query-level loss functions for information retrieval
Many machine learning technologies such as support vector machines, boosting, and neural networks have been applied to the ranking problem in information retrieval. However, since...
Tao Qin, Xu-Dong Zhang, Ming-Feng Tsai, De-Sheng W...
ICDE
2005
IEEE
194views Database» more  ICDE 2005»
16 years 8 months ago
Sentiment Mining in WebFountain
WebFountain is a platform for very large-scale text analytics applications that allows uniform access to a wide variety of sources. It enables the deployment of a variety of docum...
Jeonghee Yi, Wayne Niblack
WWW
2004
ACM
16 years 7 months ago
Semantic resource management for the web: an e-learning application
Topics in education are changing with an ever faster pace. ELearning resources tend to be more and more decentralized. Users increasingly need to be able to use the resources of t...
Julien Tane, Christoph Schmitz, Gerd Stumme
WWW
2003
ACM
16 years 7 months ago
Distributed Indexing of the Web Using Migrating Crawlers
Due to the tremendous increase rate and the high change frequency of Web documents, maintaining an up-to-date index for searching purposes (search engines) is becoming a challenge...
Odysseas Papapetrou, Stavros Papastavrou, George S...
WEBDB
2007
Springer
162views Database» more  WEBDB 2007»
16 years 23 days ago
Term Ranking for Clustering Web Search Results
Clustering web search engine results for ambiguous keyword searches poses unique challenges. First, we show that one cannot readily import the frequency based feature ranking to c...
Fatih Gelgi, Hasan Davulcu, Srinivas Vadrevu