The Ensemble-Building Challenge for Fashion Recommendation: Investigation of In-Home Practices and Assessment of Garment Combinations

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Fashion is a domain that poses new and interesting challenges for recommender systems. While most recommendation problems seek a single-point solution (e.g. a product the user will purchase), individual garments must function within a wardrobe system, and must ultimately be matched with other garments to build an outfit. The outfit-building challenge is poorly understood in academic literature and professional practice. Here, we present data from two sources: subjective self-reports from consumers about their outfit-building practices, and assessments (by expert and crowd-sourced assessors) of computer-generated outfit combinations pulled from a real-world wardrobe. Results illuminate the objectives and obstacles of consumers in the daily dressing decision, and support the complexity of building combinations from a large set of individual garments.

Original languageEnglish (US)
Title of host publicationLecture Notes in Electrical Engineering
PublisherSpringer Science and Business Media Deutschland GmbH
Pages101-116
Number of pages16
DOIs
StatePublished - 2021

Publication series

NameLecture Notes in Electrical Engineering
Volume734
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Bibliographical note

Funding Information:
Acknowledgements This work was supported by the University of Minnesota and by the US National Science Foundation under grant #1715200.

Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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