The Role of Recommendation Algorithm in Online Social Platforms

Since the 21st century, thanks to the emerging technologies such as artificial intelligence, recommendation algorithm, big data and cloud computing, some domestic and foreign online social platforms have developed and risen rapidly. With the support and promotion of these emerging technologies, domestic and foreign online social platforms are more intelligent and convenient, the number of users is increasing, and the influence of the platforms is expending. This article regard Weibo, TikTok, Facebook and Twitter as the main research objects, discuss the role of recommendation algorithm in online social platforms. Through the research and analysis, the characteristics of the application of recommendation algorithm in online social platforms are summarized.

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Publication Details

Journal
Procedia Computer Science
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procs.2025.04.320
Citations
2
Primary Topic
Recommender Systems and Techniques
Type
article
Field-Weighted Citation Impact
6.49

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article

The Role of Recommendation Algorithm in Online Social Platforms

Yanmei Li, Jiayi Cao
2 citations
Procedia Computer Science
Recommender Systems and Techniques
6.49
article

The Role of Recommendation Algorithm in Online Social Platforms

Yanmei Li, Jiayi Cao
article en
2 citations

Abstract

Since the 21st century, thanks to the emerging technologies such as artificial intelligence, recommendation algorithm, big data and cloud computing, some domestic and foreign online social platforms have developed and risen rapidly. With the support and promotion of these emerging technologies, domestic and foreign online social platforms are more intelligent and convenient, the number of users is increasing, and the influence of the platforms is expending. This article regard Weibo, TikTok, Facebook and Twitter as the main research objects, discuss the role of recommendation algorithm in online social platforms. Through the research and analysis, the characteristics of the application of recommendation algorithm in online social platforms are summarized.

Procedia Computer ScienceVol. 261
Beijing Normal-Hong Kong Baptist University (CN), Hong Kong Baptist University (HK), Qufu Normal University (CN), Beijing Normal University (CN)
Qufu Normal University
Reduced inequalities
Openalex Percentile: Top 4%
Recommender Systems and Techniques
6.49
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