survey

A Review of Modern Fashion Recommender Systems

Authors:

Yashar Deldjoo,

Fatemeh Nazary,

Julian McAuley,

Giovanni Pellegrini,

Alejandro Bellogin,

Tommaso Di NoiaAuthors Info & Claims

ACM Computing Surveys, Volume 56, Issue 4

Article No.: 87, Pages 1 - 37

https://doi.org/10.1145/3624733

Published: 21 October 2023 Publication History

Abstract

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 dressing rooms, as millions of products are now available in online catalogs. However, given the plethora of options available, an effective recommendation system is necessary to properly sort, order, and communicate relevant product material or information to users. Effective fashion recommender systems (RSs) can have a noticeable impact on billions of customers’ shopping experiences and increase sales and revenues on the provider side.

The goal of this survey is to provide a review of RSs that operate in the specific vertical domain of garment and fashion products. We have identified the most pressing challenges in fashion RS research and created a taxonomy that categorizes the literature according to the objective they are trying to accomplish (e.g., item or outfit recommendation, size recommendation, and explainability, among others) and type of side information (users, items, context). We have also identified the most important evaluation goals and perspectives (outfit generation, outfit recommendation, pairing recommendation, and fill-in-the-blank outfit compatibility prediction) and the most commonly used datasets and evaluation metrics.

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Index Terms

A Review of Modern Fashion Recommender Systems
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
      1. User models
2. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Recommender systems
    2. Specialized information retrieval
      1. Multimedia and multimodal retrieval

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cover image ACM Computing Surveys

ACM Computing Surveys Volume 56, Issue 4

April 2024

1026 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/3613581

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Albert Zomaya
University of Sydney, Australia

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Publication History

Published: 21 October 2023

Online AM: 19 September 2023

Accepted: 21 August 2023

Revised: 29 March 2023

Received: 28 January 2022

Published in CSUR Volume 56, Issue 4

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