• Aman R. Gollerkeri

The fashion business faces a major challenge due to the increasing amount, variety, and speed of fashion manufacturing, which makes it harder for consumers to make purchasing decisions. In addition, fashion is a cultural and subjective construct that refers to a collection of clothing items with a coherent style. The recommendation system bases its recommendations on the evaluation of similarities across various industries (such as movies, e-commerce, etc.). However, compatibility is a crucial factor in the fashion industry. Moreover, the information about the products in other domains differs from the raw visual features of the product representations in the fashion domain, which affects most of the algorithm’s outcomes. This literature survey presents a variety of artificial intelligence (AI) techniques that have been recently applied to recommender systems for the fashion sector. Compared to previous methods, AI enables recommendations of higher quality. For recommender systems, this has opened a new era of deeper understanding of user-item interactions and representations as well as the pattern recognition of contextual, linguistic, visual, and demographic data. By conducting an extensive literature review of research on this topic over the past ten years, focusing on image-based fashion recommender systems considering AI advancements, this work aims to provide a deeper insight into the fashion recommender system domain. Features unique to the fashion domain have been explained by elaborating on the subtle concepts of this domain and their importance. The findings of this research can help improve the performance and accuracy of fashion recommender systems, ultimately enhancing the user experience and increasing customer satisfaction. Furthermore, the research also highlights the potential for future advancements and innovations in the fashion industry.

Fashion Recommendation System(FRS), Compatibility Estimate (CE), Fashion dataset, Data processing, Artificial Intelligence, Deep Learning

"Code, Cloth, and Style: A Research Odyssey into the Interdisciplinarity of Fashion and Artificial Intelligence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 2, page no.a94-a104, February-2024, Available :http://www.jetir.org/papers/JETIR2402012.pdf

"Code, Cloth, and Style: A Research Odyssey into the Interdisciplinarity of Fashion and Artificial Intelligence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 2, page no. ppa94-a104, February-2024, Available at : http://www.jetir.org/papers/JETIR2402012.pdf