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WWW
2010
ACM
11 years 1 months ago
How useful are your comments?: analyzing and predicting youtube comments and comment ratings
An analysis of the social video sharing platform YouTube reveals a high amount of community feedback through comments for published videos as well as through meta ratings for thes...
Stefan Siersdorfer, Sergiu Chelaru, Wolfgang Nejdl...
ICWSM
2009
10 years 11 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
WWW
2009
ACM
12 years 2 months ago
Rated aspect summarization of short comments
Web 2.0 technologies have enabled more and more people to freely comment on different kinds of entities (e.g. sellers, products, services). The large scale of information poses th...
Yue Lu, ChengXiang Zhai, Neel Sundaresan
CHI
2010
ACM
11 years 8 months ago
Detecting professional versus personal closeness using an enterprise social network site
In this work we analyze the behavior on a company-internal social network site to determine which interaction patterns signal closeness between colleagues. Regression analysis sug...
Anna Wu, Joan Morris DiMicco, David R. Millen
ETS
2006
IEEE
118views Hardware» more  ETS 2006»
11 years 7 months ago
Living with Failure: Lessons from Nature?
- The resources available on a chip continue to grow, following Moore's Law. However, the major process by which the benefits of Moore's Law accrue, which is the continui...
Steve Furber
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