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» Learning to Extract Content from News Webpages
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WWW
2009
ACM
14 years 9 months ago
Personalized recommendation on dynamic content using predictive bilinear models
In Web-based services of dynamic content (such as news articles), recommender systems face the difficulty of timely identifying new items of high-quality and providing recommendat...
Wei Chu, Seung-Taek Park
IEEEVAST
2010
13 years 3 months ago
Diamonds in the rough: Social media visual analytics for journalistic inquiry
Journalists increasingly turn to social media sources such as Facebook or Twitter to support their coverage of various news events. For large-scale events such as televised debate...
Nicholas Diakopoulos, Mor Naaman, Funda Kivran-Swa...
ICDM
2009
IEEE
151views Data Mining» more  ICDM 2009»
13 years 6 months ago
TagLearner: A P2P Classifier Learning System from Collaboratively Tagged Text Documents
The amount of text data on the Internet is growing at a very fast rate. Online text repositories for news agencies, digital libraries and other organizations currently store gigaan...
Haimonti Dutta, Xianshu Zhu, Tushar Mahule, Hillol...
COLING
2008
13 years 10 months ago
Extractive Summarization Using Supervised and Semi-Supervised Learning
It is difficult to identify sentence importance from a single point of view. In this paper, we propose a learning-based approach to combine various sentence features. They are cat...
Kam-Fai Wong, Mingli Wu, Wenjie Li
ISMIR
2005
Springer
148views Music» more  ISMIR 2005»
14 years 2 months ago
Foafing the Music: A Music Recommendation System based on RSS Feeds and User Preferences
In this paper we give an overview of the Foafing the Music system. The system uses the Friend of a Friend (FOAF) and Rich Site Summary (RSS) vocabularies for recommending music t...
Òscar Celma, Miquel Ramírez, Perfect...