摘要
目前国内关于IPTV广告投放的算法研究还未完全成熟,很多企业在实践中更多依赖于人工经验分配。主要研究IPTV业务中广告库存匹配问题,建立了广告流量分配算法模型,并根据问题特性优化精简了模型约束条件,同时利用稀疏矩阵的便利性求解,最后通过某新媒体公司的IPTV广告投放案例对算法模型的可行性进行了验证。
Allocation algorithms for the current domestic IPTV advertising allocation has not yet fully mature,many enterprises depends more on human experience in practice.This paper mainly studies the advertising inventory allocation and matching problems on IPTV business,and an advertising traffic allocation model is established,of which the constraints are simplified according to the characteristics of the problem,while taking advantage of the convenience of the sparse matrix.Finally,we verify the feasibility of the algorithm model through a new media company′s IPTV advertising allocation case.
作者
邵进明
蒋炜
李艳婷
SHAO Jinming;JIANG Wei;LI Yanting(Antai College of Economics and Maragement,Shanghai Jiao Tong University,Shanghai 200030,China;School of Mechanical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China)
出处
《上海管理科学》
2019年第1期113-117,共5页
Shanghai Management Science
关键词
IPTV
新媒体广告
库存
分配算法
IPTV
new media advertising
inventory
allocation algorithm
