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SOCIALCOM
2010
14 years 9 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
KDD
2009
ACM
232views Data Mining» more  KDD 2009»
15 years 4 months ago
Probabilistic latent semantic user segmentation for behavioral targeted advertising
Behavioral Targeting (BT), which aims to deliver the most appropriate advertisements to the most appropriate users, is attracting much attention in online advertising market. A ke...
Xiaohui Wu, Jun Yan, Ning Liu, Shuicheng Yan, Ying...
FIS
2009
14 years 9 months ago
Semantic Advertising for Web 3.0
Abstract. Advertising on the World Wide Web is based around automatically matching web pages with appropriate advertisements, in the form of banner ads, interactive adverts, or tex...
Edward Thomas, Jeff Z. Pan, Stuart Taylor, Yuan Re...
ICDCS
2011
IEEE
13 years 11 months ago
Understanding the Network and User-Targeting Properties of Web Advertising Networks
—Advertising has become an integral and inseparable part of the World Wide Web. However, neither public auditing nor monitoring mechanisms still exist in this emerging area. In t...
Yong Wang, Daniel Burgener, Aleksandar Kuzmanovic,...
CIKM
2009
Springer
15 years 6 months ago
Translating relevance scores to probabilities for contextual advertising
Information retrieval systems conventionally assess document relevance using the bag of words model. Consequently, relevance scores of documents retrieved for different queries a...
Deepak Agarwal, Evgeniy Gabrilovich, Robert Hall, ...