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WEBI
2010
Springer
13 years 5 months ago
An Approach to Model and Predict the Popularity of Online Contents with Explanatory Factors
In this paper, we propose a methodology to predict the popularity of online contents. More precisely, rather than trying to infer the popularity of a content itself, we infer the l...
Jong Gun Lee, Sue Moon, Kavé Salamatian
WSDM
2012
ACM
283views Data Mining» more  WSDM 2012»
12 years 3 months ago
The life and death of online groups: predicting group growth and longevity
We pose a fundamental question in understanding how to identify and design successful communities: What factors predict whether a community will grow and survive in the long term?...
Sanjay Ram Kairam, Dan J. Wang, Jure Leskovec
ECIR
2010
Springer
13 years 9 months ago
News Comments: Exploring, Modeling, and Online Prediction
Online news agents provide commenting facilities for their readers to express their opinions or sentiments with regards to news stories. The number of user supplied comments on a n...
Manos Tsagkias, Wouter Weerkamp, Maarten de Rijke
ICDE
2009
IEEE
156views Database» more  ICDE 2009»
14 years 9 months ago
Online Anomaly Prediction for Robust Cluster Systems
In this paper, we present a stream-based mining algorithm for online anomaly prediction. Many real-world applications such as data stream analysis requires continuous cluster opera...
Xiaohui Gu, Haixun Wang
HT
2009
ACM
14 years 9 days ago
Modeling and predicting group activity over time in online social media
This paper develops a probabilistic framework that can model and predict group activity over time on online social media. Users of social media sites such as Flickr often face the...
Munmun De Choudhury