Fashionpedia-Ads: Do Your Favorite Advertisements Reveal Your Fashion Taste?

Research output: Working paper › Preprint

Standard

Fashionpedia-Ads : Do Your Favorite Advertisements Reveal Your Fashion Taste? / Shi, Mengyun; Cardie, Claire; Belongie, Serge.

arXiv.org, 2023.

Research output: Working paper › Preprint

Harvard

Shi, M, Cardie, C & Belongie, S 2023 'Fashionpedia-Ads: Do Your Favorite Advertisements Reveal Your Fashion Taste?' arXiv.org. <https://arxiv.org/abs/2305.02360>

APA

Shi, M., Cardie, C., & Belongie, S. (2023). Fashionpedia-Ads: Do Your Favorite Advertisements Reveal Your Fashion Taste? arXiv.org. https://arxiv.org/abs/2305.02360

Vancouver

Shi M, Cardie C, Belongie S. Fashionpedia-Ads: Do Your Favorite Advertisements Reveal Your Fashion Taste? arXiv.org. 2023.

Author

Shi, Mengyun ; Cardie, Claire ; Belongie, Serge. / Fashionpedia-Ads : Do Your Favorite Advertisements Reveal Your Fashion Taste?. arXiv.org, 2023.

Bibtex

@techreport{0f95ad5f0d4e4ace806c24adc81b47f9,
title = "Fashionpedia-Ads: Do Your Favorite Advertisements Reveal Your Fashion Taste?",
abstract = "Consumers are exposed to advertisements across many different domains on the internet, such as fashion, beauty, car, food, and others. On the other hand, fashion represents second highest e-commerce shopping category. Does consumer digital record behavior on various fashion ad images reveal their fashion taste? Does ads from other domains infer their fashion taste as well? In this paper, we study the correlation between advertisements and fashion taste. Towards this goal, we introduce a new dataset, Fashionpedia-Ads, which asks subjects to provide their preferences on both ad (fashion, beauty, car, and dessert) and fashion product (social network and e-commerce style) images. Furthermore, we exhaustively collect and annotate the emotional, visual and textual information on the ad images from multi-perspectives (abstractive level, physical level, captions, and brands). We open-source Fashionpedia-Ads to enable future studies and encourage more approaches to interpretability research between advertisements and fashion taste.",
author = "Mengyun Shi and Claire Cardie and Serge Belongie",
year = "2023",
language = "English",
publisher = "arXiv.org",
type = "WorkingPaper",
institution = "arXiv.org",

}

RIS

TY - UNPB

T1 - Fashionpedia-Ads

T2 - Do Your Favorite Advertisements Reveal Your Fashion Taste?

AU - Shi, Mengyun

AU - Cardie, Claire

AU - Belongie, Serge

PY - 2023

Y1 - 2023

N2 - Consumers are exposed to advertisements across many different domains on the internet, such as fashion, beauty, car, food, and others. On the other hand, fashion represents second highest e-commerce shopping category. Does consumer digital record behavior on various fashion ad images reveal their fashion taste? Does ads from other domains infer their fashion taste as well? In this paper, we study the correlation between advertisements and fashion taste. Towards this goal, we introduce a new dataset, Fashionpedia-Ads, which asks subjects to provide their preferences on both ad (fashion, beauty, car, and dessert) and fashion product (social network and e-commerce style) images. Furthermore, we exhaustively collect and annotate the emotional, visual and textual information on the ad images from multi-perspectives (abstractive level, physical level, captions, and brands). We open-source Fashionpedia-Ads to enable future studies and encourage more approaches to interpretability research between advertisements and fashion taste.

AB - Consumers are exposed to advertisements across many different domains on the internet, such as fashion, beauty, car, food, and others. On the other hand, fashion represents second highest e-commerce shopping category. Does consumer digital record behavior on various fashion ad images reveal their fashion taste? Does ads from other domains infer their fashion taste as well? In this paper, we study the correlation between advertisements and fashion taste. Towards this goal, we introduce a new dataset, Fashionpedia-Ads, which asks subjects to provide their preferences on both ad (fashion, beauty, car, and dessert) and fashion product (social network and e-commerce style) images. Furthermore, we exhaustively collect and annotate the emotional, visual and textual information on the ad images from multi-perspectives (abstractive level, physical level, captions, and brands). We open-source Fashionpedia-Ads to enable future studies and encourage more approaches to interpretability research between advertisements and fashion taste.

M3 - Preprint

BT - Fashionpedia-Ads

PB - arXiv.org

ER -

ID: 384867756