期刊論文
| 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,Yen-LiangChen and Jia-ShinLi |
| 單位 | |
| 出版者 | |
| 著錄名稱、卷期、頁數 | The Electronic Library |
| 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. |
| 關鍵字 | Cross-platformrecommendationsystem;Socialmedia;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 | Chang, Chia-ling |
| 審稿制度 | 是 |
| 國別 | TWN |
| 公開徵稿 | |
| 出版型式 | ,電子版 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/124578 ) |