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» Automatic Web Rating: Filtering Obscene Content on the Web
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KDD
2005
ACM
163views Data Mining» more  KDD 2005»
14 years 7 months ago
Data Sparsity Issues in the Collaborative Filtering Framework
Abstract. With the amount of available information on the Web growing rapidly with each day, the need to automatically filter the information in order to ensure greater user effici...
Miha Grcar, Dunja Mladenic, Blaz Fortuna, Marko Gr...
DEXAW
2010
IEEE
201views Database» more  DEXAW 2010»
13 years 8 months ago
A New Information Filtering Method for WebPages
Internet is a huge source of information. Search engines have indexed much of this information and are able to extract the relevant webpages that are related to a given query. Howe...
Sergio Lopez, Josep Silva
EMNLP
2006
13 years 8 months ago
Detecting Parser Errors Using Web-based Semantic Filters
NLP systems for tasks such as question answering and information extraction typically rely on statistical parsers. But the efficacy of such parsers can be surprisingly low, partic...
Alexander Yates, Stefan Schoenmackers, Oren Etzion...
DEXAW
2010
IEEE
190views Database» more  DEXAW 2010»
13 years 3 months ago
A Comparison of Stylometric and Lexical Features for Web Genre Classification and Emotion Classification in Blogs
In the blogosphere, the amount of digital content is expanding and for search engines, new challenges have been imposed. Due to the changing information need, automatic methods are...
Elisabeth Lex, Andreas Juffinger, Michael Granitze...
ICWSM
2009
13 years 4 months ago
Analyzing and Predicting Community Preference of Socially Generated Metadata: A Case Study on Comments in the Digg Community
Large-scale socially-generated metadata is one of the key features driving the growth and success of the emerging Social Web. Recently there have been many research efforts to stu...
Elham Khabiri, Chiao-Fang Hsu, James Caverlee