地理性社群網路中病毒式行銷之顧客推薦系統設計

Build a viral marketing customer recommendation system in Location-Based Social Network

楊宗龍(Tsung-Lung Yang)

指導教授 ： 石貴平

淡江大學/工學院/資訊工程學系碩士在職專班/碩士(2018年)

https://doi.org/10.6846/TKU.2018.00213

摘要

本論文在地理性社群網路中，建構一個病毒式行銷顧客推薦系統，以找到影響力最大的用戶。目前，社群網路正以驚人的速度成長，訊息就像感冒病毒一樣，可以透過社群網路快速傳播。目前病毒式行銷顧客推薦系統，預測準確度不高，我們希望可以增強它來提高預測準確度。目前病毒式行銷顧客推薦系統只考量顧客在社群網路中的網路價值。而我們提出的增強式病毒式行銷顧客推薦系統，除了考量顧客的網路價值外，還增加考量了顧客的興趣、顧客對商家喜好度及顧客離商家距離，能更準確地找到影響力最大的用戶。最後以模擬證明，我們的方法可以提高預測準確度，為商家帶來較多的來客數。

關鍵字

推薦系統 ； 病毒式行銷 ； 地理性社群網路

並列摘要

This paper builds a viral marketing customer recommendation system in a location-based social network to find the most influential users. At present, social networks are growing rapidly, and messages are like a cold virus that can spread quickly through social networks. At present, the viral marketing customer recommendation system has low prediction accuracy, and we hope to enhance it to improve prediction accuracy. Currently, the viral marketing customer recommendation system only considers the customer's Network Value in the social network. The enhanced viral marketing customer recommendation system, in addition to considering the customer's Network Value, also increases considering the customer's interest, the customer's preference for the merchant and the customer's distance from the merchant, and can more accurately find the most influential users. Finally, the simulation proves that our method can improve the prediction accuracy and bring more visitors to the merchant.

並列關鍵字

Recommendation system ； Viral marketing ； Location-Based Social Network

參考文獻

參考文獻

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