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» Probabilistic models for personalizing web search
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IAT
2009
IEEE
13 years 11 months ago
Bee Hive at Work: Story Tracking Case Study
—Information can change rapidly on the web. For example, news may hint some new story starts to develop. Many more news related to the original event begin to pour in the web. Im...
Pavol Návrat, Lucia Jastrzembska, Tomas Jel...
UM
2007
Springer
14 years 1 months ago
Capturing User Interests by Both Exploitation and Exploration
Personalization is one of the important research issues in the areas of information retrieval and Web search. Providing personalized services that are tailored toward the specific...
Ka Cheung Sia, Shenghuo Zhu, Yun Chi, Koji Hino, B...
MM
2009
ACM
203views Multimedia» more  MM 2009»
14 years 8 days ago
Distance metric learning from uncertain side information with application to automated photo tagging
Automated photo tagging is essential to make massive unlabeled photos searchable by text search engines. Conventional image annotation approaches, though working reasonably well o...
Lei Wu, Steven C. H. Hoi, Rong Jin, Jianke Zhu, Ne...
SIGIR
2008
ACM
13 years 7 months ago
Topic-bridged PLSA for cross-domain text classification
In many Web applications, such as blog classification and newsgroup classification, labeled data are in short supply. It often happens that obtaining labeled data in a new domain ...
Gui-Rong Xue, Wenyuan Dai, Qiang Yang, Yong Yu
MM
2009
ACM
245views Multimedia» more  MM 2009»
14 years 2 months ago
Concept detectors: how good is good enough?
Today, semantic concept based video retrieval systems often show insufficient performance for real-life applications. Clearly, a big share of the reason is the lacking performance...
Robin Aly, Djoerd Hiemstra