A cross-platform recommendation system from Facebook to Instagram
學年 111
學期 2
出版（發表）日期 2023-03-31
作品名稱 A cross-platform recommendation system from Facebook to Instagram
作品名稱（其他語言）
著者 Chang, Chia-Ling;Chen, Yen-Liang;Li, Jia-Shin
單位
出版者
著錄名稱、卷期、頁數 The Electronic Library、Vol. 41 No. 2/3、264 - 285
摘要 Purpose The purpose of this paper is to provide a cross-platform recommendation system that recommends the most suitable public Instagram accounts to Facebook users. Design/methodology/approach We collect data from both Facebook and Instagram and then propose a similarity matching mechanism for recommending the most appropriate Instagram accounts to Facebook users. By removing the data disparity between the two heterogeneous platforms and integrating them, the system is able to make more accurate recommendations. Findings The results show that the method proposed in this paper can recommend suitable public Instagram accounts to Facebook users with very high accuracy. Originality/value To the best of the authors’ knowledge, this is the first study to propose a recommender system to recommend Instagram public accounts to Facebook users. Second, our proposed method can integrate heterogeneous data from two different platforms to generate collaborative recommendations. Furthermore, our cross-platform system reveals an innovative concept of how multiple platforms can promote their respective platforms in a unified, cooperative and collaborative manner.
關鍵字 Cross-platform recommendation system;Social media;Facebook;Instagram
語言 en_US
ISSN 0264-0473
期刊性質 國外
收錄於 SSCI
產學合作
通訊作者
審稿制度 否
國別 USA
公開徵稿
出版型式 ,電子版