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WWW
2010
ACM
13 years 5 months ago
Using a model of social dynamics to predict popularity of news
Popularity of content in social media is unequally distributed, with some items receiving a disproportionate share of attention from users. Predicting which newly-submitted items ...
Kristina Lerman, Tad Hogg
KDD
2009
ACM
178views Data Mining» more  KDD 2009»
14 years 6 months ago
Catching the drift: learning broad matches from clickthrough data
Identifying similar keywords, known as broad matches, is an important task in online advertising that has become a standard feature on all major keyword advertising platforms. Eff...
Sonal Gupta, Mikhail Bilenko, Matthew Richardson
MM
2010
ACM
151views Multimedia» more  MM 2010»
13 years 5 months ago
Enhanced exploration of oral history archives through processed video and synchronized text transcripts
A digital video library of over 900 hours of video and 18000 stories from The HistoryMakers was used by 266 students, faculty, librarians, and life-long learners interacting with ...
Michael G. Christel, Scott M. Stevens, Bryan Maher...
WWW
2009
ACM
14 years 6 months ago
Matchbox: large scale online bayesian recommendations
We present a probabilistic model for generating personalised recommendations of items to users of a web service. The Matchbox system makes use of content information in the form o...
David H. Stern, Ralf Herbrich, Thore Graepel
KDD
2010
ACM
259views Data Mining» more  KDD 2010»
13 years 9 months ago
A probabilistic model for personalized tag prediction
Social tagging systems have become increasingly popular for sharing and organizing web resources. Tag recommendation is a common feature of social tagging systems. Social tagging ...
Dawei Yin, Zhenzhen Xue, Liangjie Hong, Brian D. D...