Investigating deciding factors of product recommendation in social media

Jou Yu Chen, Ping Yu Hsu, Ming Shien Cheng, Hong Tsuen Lei, Shih Hsiang Huang, Yen Huei Ko, Chen Wan Huang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

With the growing popularity of social media, the number of people using social media to communicate and interact with others has increased steadily. As a result, social commerce has become a new phenomenon. In the past, most of the product recommendations in microblogging only dealt with personal preferences and interests, and ignored other possible factors such as Crowd Interest, Popularity of Products, Reputation of Creators, Types of Preference and Recent. Nowadays, these variables used by Facebook to recommend posts to their users. Therefore, this research adapted those five aspects and analyzed their effectiveness to recommend products on social media. This study used the Plurk API to develop and implement recommended robots that recommend products at specific times of the day so that they can get product information and meet recommended tasks in the social circle. The empirical results showed that the Interest, Popularity and Type have significant impacts on recommendation effectiveness.

原文???core.languages.en_GB???
主出版物標題Advances in Swarm Intelligence - 9th International Conference, ICSI 2018, Proceedings
編輯Ying Tan, Qirong Tang, Yuhui Shi
發行者Springer Verlag
頁面249-257
頁數9
ISBN(列印)9783319938172
DOIs
出版狀態已出版 - 2018
事件9th International Conference on Swarm Intelligence, ICSI 2018 - Shanghai, China
持續時間: 17 6月 201822 6月 2018

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
10942 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

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???event.eventtypes.event.conference???9th International Conference on Swarm Intelligence, ICSI 2018
國家/地區China
城市Shanghai
期間17/06/1822/06/18

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