Communications in Humanities Research
- The Open Access Proceedings Series for Conferences
Communications in Humanities Research
Vol. 19, 07 December 2023
Open
Access | Article
A Study of the Correlation Between MBTI and Social Media ‘Food’ Recommendations
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Abstract
With the booming of social media, diverse and accurate user figures can significantly improve personalized experiences in industrial applications like advertisements and recommender systems. Meanwhile, deep learning is widely used in user tag construction, which means mining labels with practical significance through historical interaction behavior. For instance, clicking on advertisements and conversions can express the tags of users’ interests and intentions. The construction of accurate user figures is difficult, the potential of existing modal data has been plumbed, and the challenge is the need for further features. Then, optimizing recommender systems’ accuracy through diverse methods becomes the key to the sustainable development of each social media platform. Recently, Myers–Briggs Type Indicator (MBTI) test results become a highly discussed topic in the mass media, and enough samples have been accumulated to confirm its scientific validity. Indeed, MBTI results strongly correlate with personal habits and preferences, which the recommender system of social media has not fully applied. Therefore, this paper has researched optimizing the recommender system of social media platform content based on MBTI results, which mainly focus on the food topic of the RED app. The following has adopted the questionnaire as the primary research method, supplemented by the literature review and observation method. The research concluded that different MBTI have different dining habits and preferences. As preliminary research of relevance, the value of this discovery can help develop accurate user profiles and optimize the quality of content recommendations.
Keywords
MBTI test, precise content recommend, recommender system, RED, food
References
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Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 2nd International Conference on Interdisciplinary Humanities and Communication Studies
- ISBN (Print)
- 978-1-83558-181-0
- ISBN (Online)
- 978-1-83558-182-7
- Published Date
- 07 December 2023
- Series
- Communications in Humanities Research
- ISSN (Print)
- 2753-7064
- ISSN (Online)
- 2753-7072
- DOI
- 10.54254/2753-7064/19/20231199
- Copyright
- 07 December 2023
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited