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A Study of the Correlation Between MBTI and Social Media ‘Food’ Recommendations
- 1 Wenzhou-Kean University
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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
[1]. M. Ge and F. Persia, “Factoring Personalization in Social Media Recommendations,” 2019 IEEE 13th International Conference on Semantic Computing (ICSC), Newport Beach, CA, USA, 2019, pp. 344-347, doi: 10.1109/ICOSC.2019.8665624.
[2]. Y. Sahu, Y. Ramani, V. Parekh and N. Maru, “Personality Prediction from Social Media Images: A Content Driven Approach,” 2019 6th International Conference on Computing for Sustainable Global Development (INDIACom), New Delhi, India, 2019, pp. 517-521.
[3]. P. Kurunkar, O. Sawant, P. Mene and N. Varghese, “An Image-Based Hashtag Recommendation System as a Social Media Workflow Tool,” 2022 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON), Bangalore, India, 2022, pp. 1-5, doi: 10.1109/SMARTGENCON56628.2022.10083952.
[4]. Furnham, A. (2020). Myers-Briggs type indicator (MBTI). Encyclopedia of personality and individual differences, 3059-3062.
[5]. M. R. V V R, S. N, M. Gadiraju, S. S. Reddy, S. Bonthu and R. R. Kurada, “A Plausible RNN-LSTM based Profession Recommendation System by Predicting Human Personality Types on Social Media Forums,” 2023 7th International Conference on Computing Methodologies and Communication (ICCMC), Erode, India, 2023, pp. 850-855, doi: 10.1109/ICCMC56507.2023.10083557.
[6]. Celli, F., & Lepri, B. (2018, December). Is big five better than MBTI? A personality computing challenge using Twitter data. In Proceedings of the Fifth Italian Conference on Computational Linguistics CLiC-it (Vol. 2018, pp. 93-98).
[7]. Štajner, S., & Yenikent, S. (2021, April). Why is mbti personality detection from texts a difficult task?. In Proceedings of the 16th conference of the European chapter of the association for computational linguistics: main volume (pp. 3580-3589).
[8]. Mushtaq, Z., Ashraf, S., & Sabahat, N. (2020, November). Predicting MBTI personality type with K-means clustering and gradient boosting. In 2020 IEEE 23rd International Multitopic Conference (INMIC) (pp. 1-5). IEEE.
[9]. Capraro RM, Capraro MM. Myers-Briggs type indicator score reliability across: studies a meta-analytic reliability generalization study. Educational and Psychological Measurement. 2002;62(4):590-602.
[10]. Kendra Cherry, Mse. (2022, July 28). Myers-Briggs Type indicator: The 16 personality types. Verywell Mind. https://www.verywellmind.com/the-myers-briggs-type-indicator-2795583#toc-reliability-and-validity
Cite this article
Yang,S. (2023). A Study of the Correlation Between MBTI and Social Media ‘Food’ Recommendations. Communications in Humanities Research,19,26-34.
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
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