To read this content please select one of the options below:

A cross-platform recommendation system from Facebook to Instagram

Chia-Ling Chang (Department of Information and Library Science, Tamkang University, New Taipei City, Taiwan)
Yen-Liang Chen (Department of Information Management, National Central University, Taoyuan, Taiwan)
Jia-Shin Li (Department of Information Management, National Central University, Taoyuan, Taiwan)

The Electronic Library

ISSN: 0264-0473

Article publication date: 31 March 2023

Issue publication date: 24 May 2023

283

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.

Keywords

Citation

Chang, C.-L., Chen, Y.-L. and Li, J.-S. (2023), "A cross-platform recommendation system from Facebook to Instagram", The Electronic Library, Vol. 41 No. 2/3, pp. 264-285. https://doi.org/10.1108/EL-09-2022-0210

Publisher

:

Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

Related articles