Revenue maximization for telecommunications company with social viral marketing
學年 104
學期 1
發表日期 2015-10-29
作品名稱 Revenue maximization for telecommunications company with social viral marketing
作品名稱（其他語言）
著者 Hong-Han Shuai, Chih-Ya Shen, Hsiang-Chun Hsu, De-Nian Yang, Chung-Kuang Chou, Jihg-Hong Lin, Ming-Syan Chen
作品所屬單位
出版者
會議名稱 2015 IEEE International Conference on Big Data (Big Data) (2015)
會議地點 Santa Clara, CA, USA
摘要 Viral marketing, a marketing strategy that leverages the influence power in intimate relationship, has become more prevalent due to the popularity of online social networking services in recent years. Consumers are more likely to make a purchase based on social media referrals. Since marketing through social media and traditional channels may target on different audiences, how to maximize the revenue of a telecommunications company by employing different advertising ways and selecting initial users for advertisements is a critical problem. Therefore, in this paper, we formulate a new research problem, namely Cost-Aware Multi-wAy Influence maXimization (CAMAIX) to address the need mentioned above. We design a 1/2-approximation algorithm with various pruning and budget allocation strategies to solve CAMAIX efficiently. We conduct extensive experiments on a large-scale real dataset from a telecommunications company. The results show that our proposed algorithm outperforms the baseline algorithms in both solution quality and efficiency.
關鍵字
語言 en_US
收錄於
會議性質 國際
校內研討會地點 無
研討會時間 20151029~20151101
通訊作者
國別 USA
公開徵稿
出版型式
出處 2015 IEEE International Conference on Big Data (Big Data) (2015), p.1306-1310
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