Predicting the popularity of web 2.0 items based on user comments
Open Access
- 3 July 2014
- conference paper
- Published by Association for Computing Machinery (ACM)
- p. 233-242
Abstract
No abstract availableKeywords
This publication has 32 references indexed in Scilit:
- Using early view patterns to predict the popularity of youtube videos2013
- Care to comment?2012
- A straw shows which way the wind blows2012
- Can Social Features Help Learning to Rank YouTube Videos?Lecture Notes in Computer Science, 2012
- Improved video categorization from text metadata and user comments2011
- Predicting the popularity of online contentCommunications of the ACM, 2010
- Maintaining time-decaying stream aggregatesJournal of Algorithms, 2006
- Regularization on Discrete SpacesLecture Notes in Computer Science, 2005
- The stochastic approach for link-structure analysis (SALSA) and the TKC effectComputer Networks, 2000
- Authoritative sources in a hyperlinked environmentJournal of the ACM, 1999