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WEBI
2010
Springer
14 years 7 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
99
Voted
WSDM
2012
ACM
283views Data Mining» more  WSDM 2012»
13 years 5 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
59
Voted
ECIR
2010
Springer
14 years 11 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»
15 years 11 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
15 years 2 months 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