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» Predicting the volume of comments on online news stories
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WEBI
2010
Springer
13 years 3 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
IFIP12
2010
13 years 3 months ago
Learning the Preferences of News Readers with SVM and Lasso Ranking
We attack the task of predicting which news-stories are more appealing to a given audience by comparing ‘most popular stories’, gathered from various online news outlets, over ...
Elena Hensinger, Ilias N. Flaounas, Nello Cristian...
CHI
2007
ACM
13 years 9 months ago
Follow the reader: filtering comments on slashdot
Large-scale online communities need to manage the tension between critical mass and information overload. Slashdot is a news and discussion site that has used comment rating to al...
Cliff Lampe, Erik W. Johnston, Paul Resnick
LAWEB
2007
IEEE
13 years 11 months ago
Description and Prediction of Slashdot Activity
We perform a statistical analysis of user’s reaction time to a new discussion thread in online debates on the popular news site Slashdot. First, we show with KolmogorovSmirnov t...
Andreas Kaltenbrunner, Vicenç Gómez,...
WSDM
2009
ACM
138views Data Mining» more  WSDM 2009»
14 years 2 days ago
Integration of news content into web results
Aggregated search refers to the integration of content from specialized corpora or verticals into web search results. Aggregation improves search when the user has vertical intent...
Fernando Diaz