A review of modern fashion recommender systems

Y Deldjoo, F Nazary, A Ramisa, J Mcauley… - ACM Computing …, 2023 - dl.acm.org
The textile and apparel industries have grown tremendously over the past few years.
Customers no longer have to visit many stores, stand in long queues, or try on garments in …

Siamese neural networks in recommendation

N Serrano, A Bellogín - Neural Computing and Applications, 2023 - Springer
Recommender systems are widely adopted as an increasing research and development
area, since they provide users with diverse and useful information tailored to their needs …

Individual and group decision making and recommender systems

A Jameson, MC Willemsen, A Felfernig - Recommender Systems …, 2022 - Springer
Given that an important function of recommender systems is to help people make better
choices, people who design and study recommender systems ought to have a good …

Towards Designing Robo-Advisory to Promote Consensus Efficient Group Decision-Making in New Types of Economic Scenarios

NM Namyslo, D Jung - 2023 - aisel.aisnet.org
Robo-advisors are a new type of FinTech increasingly used by millennials in place of
traditional financial advice. Building on artificial intelligence, robo-advisors provide …

Promoting Green Fashion Consumption in Recommender Systems

A Geninatti Cossatin - Adjunct Proceedings of the 32nd ACM Conference …, 2024 - dl.acm.org
The fashion industry is a significant contributor to global carbon emissions, water
consumption, and waste generation. My Ph. D. project explores two approaches to promote …

Investigating Return Behavior in e-commerce: A Data-Driven Study

B Balasubramanian… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Returns pose a significant challenge to the e-commerce industry as they gobble up profits,
jam up operations, and leave a trail of financial woes. The objective of the current study is to …

[PDF][PDF] Estudio y análisis del uso de redes siamesas en estrategias de recomendación basadas en contenido y de filtrado colaborativo

N Serrano Salas - 2023 - abellogin.github.io
Este Trabajo de Fin de Máster ha sido diseñado con el objetivo de la investigación del uso
de Sistemas de Recomendación junto con las redes siamesas. Su propósito principal es …

[PDF][PDF] K-Means Clustering of Fashion Behavior

F Dedov - recsys-lab.at
The analysis of customer-related e-commerce data becomes increasingly valuable over
time. While most analysis in this competitive field focuses on the products, the analysis and …

[PDF][PDF] Estudio de algoritmos de aprendizaje profundo en predicción de com-patibilidad de moda

PP Cabas - abellogin.github.io
A raíz de la pandemia reciente, los consumidores se han vuelto más propensos a realizar
las compras en línea, por lo que la industria de la moda ha sufrido una metamorfosis que ha …