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» Learning to Extract Content from News Webpages
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WWW
2009
ACM
16 years 13 days 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
14 years 6 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»
14 years 9 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
15 years 1 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»
15 years 5 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...