題    目：Optimizing Ad Allocation in Social Advertising

基于社交網(wǎng)絡(luò)的最優(yōu)廣告投放決策

報(bào) 告 人：唐少杰 (Shaojie Tang)，美國(guó)德州大學(xué)達(dá)拉斯分校教授

時(shí)    間：2016年6月7日（星期二）上午10:00-12:00

地    點(diǎn)：bwin必贏唯一官網(wǎng)313會(huì)議室

講座內(nèi)容：Social advertising (or social promotion) is an effective approach that produces a significant cascade of adoption through influence in the 

online social networks. The goal of this work is to optimize the ad allocation from the platform’s perspective. 在線社交網(wǎng)絡(luò)的廣告投放是管理

學(xué)研究的熱點(diǎn)問題之一，本講座將介紹如何從社交平臺(tái)的角度優(yōu)化廣告投放策略。

講座人信息：Prof. Shaojie Tang received his Ph.D degree in computer science from Illinois Institute of Technology in 2012. Currently he is an assistant professor 

in Naveen Jindal School of Management, University of Texas at Dallas (UTD). Tang's research interest covers social networks, crowd computing, 

game theory, and wireless & mobile computing. He won the best paper awards of several international conferences, including ACM MobiHoc 2014, 

I-SPAN 2014 and MASS 2013. He was also recognized by ScienceDirect as one of the Top 25 papers in Elsevier’s Pervasive and Mobile 

Computing Journal in 2012. His publications have generated over 2,500 google citations.