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SOCIALCOM
2010
13 years 6 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»
14 years 1 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...
KDD
2009
ACM
257views Data Mining» more  KDD 2009»
14 years 3 months ago
Argo: intelligent advertising by mining a user's interest from his photo collections
In this paper, we introduce a system named Argo which provides intelligent advertising made possible from users’ photo collections. Based on the intuition that user-generated ph...
Xin-Jing Wang, Mo Yu, Lei Zhang, Rui Cai, Wei-Ying...
PST
2008
13 years 9 months ago
An Effective Defense against Intrusive Web Advertising
Intrusive Web advertising such as pop-ups and animated layer ads, which distract the user from reading or navigating through the main content of Web pages, is being perceived as a...
Viktor Krammer
FIS
2009
13 years 6 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...