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» Predicting the popularity of online content
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DBSOCIAL
2011
300views Database» more  DBSOCIAL 2011»
12 years 8 months ago
Boosting video popularity through recommendation systems
While search engines are the major sources of content discovery on online content providers and e-commerce sites, their capability is limited since textual descriptions cannot ful...
Renjie Zhou, Samamon Khemmarat, Lixin Gao, Huiqian...
EUROSYS
2011
ACM
12 years 8 months ago
Scarlett: coping with skewed content popularity in mapreduce clusters
To improve data availability and resilience MapReduce frameworks use file systems that replicate data uniformly. However, analysis of job logs from a large production cluster show...
Ganesh Ananthanarayanan, Sameer Agarwal, Srikanth ...
SOCIALCOM
2010
13 years 3 months ago
Traffic in Social Media II: Modeling Bursty Popularity
Online popularity has enormous impact on opinions, culture, policy, and profits, especially with the advent of the social Web and Web advertising. Yet the processes that drive popu...
Jacob Ratkiewicz, Filippo Menczer, Santo Fortunato...
WWW
2009
ACM
14 years 5 months 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
SIGIR
2012
ACM
11 years 7 months ago
Will this #hashtag be popular tomorrow?
Hashtags are widely used in Twitter to define a shared context for events or topics. In this paper, we aim to predict hashtag popularity in near future (i.e., next day). Given a ...
Zongyang Ma, Aixin Sun, Gao Cong