基于AdLocus真实大数据的移动广告推荐研究

T. Wu, Shih-Hau Fang, Yong-Bin Wu, Cheng-Tse Wu, Jen-Wei Huang, Yu Tsao
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引用次数: 2

摘要

AdLocus是海讯公司开发的一款移动广告APP。这个广告软件可以将信息推送到指定位置的目标用户。基于AdLocus提供的真实大数据,我们设计了动态广告推荐系统,提高广告投放效率。该方法利用回归模型和点击概率来推荐每30分钟的移动广告投放量。结果表明,我们的推荐方法能够有效地提高成功点击率,满足要求的点击次数。此外,该方法避免了冗余的广告,降低了系统成本。
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A study of mobile advertisement recommendation using real big data from AdLocus
AdLocus is an APP developed by HyXen Company for mobile advertisements. This advertising software can push the message to the target users within specified locations. Based on the real big data provided by AdLocus, we design a dynamic advertisements recommendation system to increase the advertising efficiency. The proposed method uses the regression models and the click probability to recommend the amount of mobile advertisements for every 30 minutes. The results show that our recommendation can efficiently raise the successful clicking rate to satisfy the required clicks number. Moreover, the proposed method avoids the redundant advertisements to reduce the system cost.
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