Sciweavers

44 search results - page 2 / 9
» Predictive user click models based on click-through history
Sort
View
WSDM
2010
ACM
365views Data Mining» more  WSDM 2010»
14 years 2 months ago
A Novel Click Model and Its Applications to Online Advertising
Recent advances in click model have positioned it as an attractive method for representing user preferences in web search and online advertising. Yet, most of the existing works f...
Zeyuan Allen Zhu, Weizhu Chen, Tom Minka, Chenguan...
WINE
2010
Springer
174views Economy» more  WINE 2010»
13 years 2 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...
IJCAI
2007
13 years 6 months ago
Learning User Clicks in Web Search
Machine learning for predicting user clicks in Webbased search offers automated explanation of user activity. We address click prediction in the Web search scenario by introducing...
Ding Zhou, Levent Bolelli, Jia Li, C. Lee Giles, H...
WSDM
2010
ACM
236views Data Mining» more  WSDM 2010»
14 years 2 months ago
Personalized Click Prediction in Sponsored Search
Sponsored search is a multi-billion dollar business that generates most of the revenue for search engines. Predicting the probability that users click on ads is crucial to sponsor...
Erick Cantú-Paz, Haibin Cheng
SOCIALCOM
2010
13 years 2 months ago
Learning to Predict Ad Clicks Based on Boosted Collaborative Filtering
This paper addresses the topic of social advertising, which refers to the allocation of ads based on individual user social information and behaviors. As social network services (e...
Teng-Kai Fan, Chia-Hui Chang