A cross-platform recommendation system from Facebook to Instagram

doi:10.1108/EL-09-2022-0210

淡江大學機構典藏 > 文學院 > 資訊與圖書館學系暨研究所 > 期刊論文 > Item 987654321/124578

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题名:	A cross-platform recommendation system from Facebook to Instagram
作者:	Chang, Chia-ling
关键词:	Cross-platformrecommendationsystem;Socialmedia;Facebook;Instagram
日期:	2023-03-31
上传时间:	2023-10-04 12:06:05 (UTC+8)
摘要:	Abstract 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.
關聯:	The Electronic Library
DOI:	10.1108/EL-09-2022-0210
显示于类别:	[資訊與圖書館學系暨研究所] 期刊論文

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