篇名 |
User Behavior Prediction Based on DCGAN: The Case of Sina Weibo
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並列篇名 | User Behavior Prediction Based on DCGAN: The Case of Sina Weibo |
作者 | Yaohui Hao、Dongning Zhao、Huazhong Li、Wai Hung Ip、Yingze Liu |
英文摘要 | E-commerce marketing forces are taking advantage of microblogs to deliver their advertisements to promote product information. The success of product information diffusion in microblog depends greatly on user behaviors -- browsing, commenting and reposting. In this paper, we divide user behaviors of Sina Weibo into four types corresponding to four different colors, and propose a method to predict user behavior based on DCGAN (Deep Convolutional Generative Adversarial Nets). By analyzing a real Sina Weibo dataset, the experimental results show that the prediction accuracy of the four types of user behaviors reaches more than 80%, which proves that our method is feasible and effective, and also can help companies succeed in their product advertisements.
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起訖頁 | 1367-1376 |
關鍵詞 | User behavior、DCGAN、E-commerce、Product advertisements |
刊名 | 網際網路技術學刊 |
期數 | 202211 (23:6期) |
出版單位 | 台灣學術網路管理委員會 |
DOI |
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