精品水蜜桃久久久久久久,成人国产精品动漫欧美一区,亚洲爆乳精品无码一区二区,精品人妻系列无码人妻免费视频,6080yyy午夜理论AA片,动漫精品无码一区二区三区,日韩欧美国产传媒第一区二区,国产91高潮操逼视频流白浆,97国内少妇偷人精品视频免费 ,亚洲国产成人精品久久久国产成人一区二区三区综合区精品久久久中文字幕一区,亚洲精品久久久一区黄无码国产a一级无码毛片一区二区三区,久久久无码国产精精品免费国国产欧美日本韩高清视频一区二区三区免费式,国产成人无码精品久久久免费,精品欧美国产一区二区三区不卡 ,国内精品久久久久久久影视麻豆|国产精品无码亚洲|无限国产资源好片2018|精品91自产拍在线观看|精品乱子伦一区二区三区掼蛋

題    目：Optimizing Ad Allocation in Social Advertising

基于社交網絡的最優(yōu)廣告投放決策

報 告 人：唐少杰 (Shaojie Tang)，美國德州大學達拉斯分校教授

時    間：2016年6月7日（星期二）上午10:00-12:00

地    點：bwin必贏唯一官網313會議室

講座內容：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. 在線社交網絡的廣告投放是管理

學研究的熱點問題之一，本講座將介紹如何從社交平臺的角度優(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.