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WEBDB
2010
Springer
155views Database» more  WEBDB 2010»
9 years 6 months ago
Learning Topical Transition Probabilities in Click Through Data with Regression Models
The transition of search engine usersā€™ intents has been studied for a long time. The knowledge of intent transition, once discovered, can yield a better understanding of how diļ...
Xiao Zhang, Prasenjit Mitra
ML
2015
ACM
3 years 9 months ago
Direct conditional probability density estimation with sparse feature selection
Regression is a fundamental problem in statistical data analysis, which aims at estimating the conditional mean of output given input. However, regression is not informative enoug...
Motoki Shiga, Voot Tangkaratt, Masashi Sugiyama
WINE
2010
Springer
174views Economy» more  WINE 2010»
8 years 11 months ago
Value of Learning in Sponsored Search Auctions
Abstract. The standard business model in the sponsored search marketplace is to sell click-throughs to the advertisers. This involves running an auction that allocates advertisemen...
Sai-Ming Li, Mohammad Mahdian, Randolph Preston Mc...
FCSC
2010
238views more  FCSC 2010»
8 years 10 months ago
Knowledge discovery through directed probabilistic topic models: a survey
Graphical models have become the basic framework for topic based probabilistic modeling. Especially models with latent variables have proved to be effective in capturing hidden str...
Ali Daud, Juanzi Li, Lizhu Zhou, Faqir Muhammad
WWW
2009
ACM
10 years 2 months ago
Spatio-temporal models for estimating click-through rate
We propose novel spatio-temporal models to estimate clickthrough rates in the context of content recommendation. We track article CTR at a fixed location over time through a dynam...
Deepak Agarwal, Bee-Chung Chen, Pradheep Elango
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