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A Dataset for Adapting Recommender Systems to the Fashion Rental Economy

Published: 08 October 2024 Publication History

Abstract

In response to the escalating ecological challenges that threaten global sustainability, there’s a need to investigate alternative methods of commerce, such as rental economies. Like most online commerce, rental or otherwise, a functioning recommender system is crucial for their success. Yet the domain has, until this point, been largely neglected by the recommender system research community.
Our dataset, derived from our collaboration with the leading Norwegian fashion rental company Vibrent, encompasses 77.1k transactions, rental histories from 7.4k anonymized users, and 15.6k unique outfits in which each physical item’s attributes and rental history is meticulously tracked. All outfits are listed as individual items or their corresponding item groups, referring to shared designs between the individual items. This notation underlines the novel challenges of rental as compared to more traditional recommender system problems where items are generally interchangeable. For example, an RS for rental items requires tracking each physical item to ensure it isn’t rented for the same time period to several different customers, as compared to retail, in which tracking or recommending individual items is largely unnecessary. Each outfit is accompanied by a set of tags describing some of their attributes. We also provide a total of 50.1k images displaying across all items, along with a set of precomputed zero-shot embeddings.
We apply a myriad of common recommender system methods to the dataset to provide a performance baseline. This baseline is calculated for both the traditional fashion recommender system problem of recommending outfit groups and the novel problem of predicting individual item rental. To our knowledge, this is the first published article to directly discuss fashion rental recommender systems, as well as the first published dataset intended for this purpose. We hope that the publication of this dataset will serve as a catalyst for a new branch of research for specialized fashion rental recommender systems.
The dataset has been made freely available at https://www.kaggle.com/datasets/kaborg15/vibrent-clothes-rental-dataset
All code associated with the project have been made available at:https://github.com/cair/Vibrent_Clothes_Rental_Dataset_Collection

Supplemental Material

MP4 File - A Dataset for Adapting Recommender Systems to the Fashion Rental Economy Video Introduction
A brief description of the domain and problems associated with the dataset from "A Dataset for Adapting Recommender Systems to the Fashion Rental Economy"
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cover image ACM Conferences
RecSys '24: Proceedings of the 18th ACM Conference on Recommender Systems
October 2024
1438 pages
This work is licensed under a Creative Commons Attribution International 4.0 License.

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Published: 08 October 2024

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Author Tags

  1. Dataset
  2. Fashion
  3. Recommender Systems
  4. Rental

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  • Refereed limited

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  • Norwegian Research Council

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Overall Acceptance Rate 254 of 1,295 submissions, 20%

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