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Geng, X., Zhang, H., Bian, J., & Chua, T. S. (2015). Learning Image and User Features for Recommendation in Social Networks. In Proceedings of the IEEE International Conference on Computer Vision (pp. 4274-4282). Institute of Electrical and Electronics Engineers.
https://doi.org/10.1109/ICCV.2015.486

has been cited by the following article:

• TITLE: Exploring the Evolution of Brand Loyalty in the Age of Social Media

  AUTHORS: Muhammed Zakir Hossain, Habiba Kibria

  KEYWORDS: Brand Loyalty, Social Media Marketing, Engagement Strategies, User-Generated Content (UGC)

  JOURNAL NAME: Journal of Service Science and Management, Vol.17 No.3, June 5, 2024

  ABSTRACT: This article examines the evolution of brand loyalty in the context of social media’s pervasive influence on consumer behavior and marketing practices. Traditionally, brand loyalty has been characterized by consumers’ consistent preference for a particular brand. However, the emergence of social media platforms has transformed the marketing landscape, offering brands unprecedented opportunities to engage with their audience, foster relationships, and cultivate loyalty. With billions of users actively participating on platforms like Facebook, Instagram, Twitter, and LinkedIn, social media has become a powerful tool for brands to connect with consumers. This paper highlights the significance of understanding the evolving nature of brand loyalty in the age of social media. It emphasizes the need for marketers to adapt their strategies to leverage this new terrain effectively. Through a review of relevant literature and theoretical frameworks, the article explores the implications of social media on brand-consumer relationships. It offers practical recommendations for marketers aiming to capitalize on the opportunities presented by the digital landscape.