Simulacra and Selection

Zielnicki, Kevin

doi:10.1145/3331184.3331442

Cited by 7 publications

(5 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Achieving sustainability goals in the fashion industry requires, for example, to lower the number of returned deliveries and to increase a customers willingness to accept higher prices for higher-quality items. Such goals can be achieved, for example, by providing means to create bundles of items (Li et al, 2020;Wiezorek and Christensen, 2021) which fit together relieving customers from the burden of performing this task on their own (Zielnicki, 2019). In this context, persuasive explanations are needed that help to better motivate customers to choose more sustainable options (Knowles et al, 2014).…”

Section: Responsible Consumption and Productionmentioning

confidence: 99%

Reviews in Recommender Systems: 2022

2024

Frontiers Research Topics

View full text Add to dashboard Cite

Frontiers is more than just an open access publisher of scholarly articles: it is a pioneering approach to the world of academia, radically improving the way scholarly research is managed. The grand vision of Frontiers is a world where all people have an equal opportunity to seek, share and generate knowledge. Frontiers provides immediate and permanent online open access to all its publications, but this alone is not enough to realize our grand goals. Frontiers journal seriesThe Frontiers journal series is a multi-tier and interdisciplinary set of openaccess, online journals, promising a paradigm shift from the current review, selection and dissemination processes in academic publishing. All Frontiers journals are driven by researchers for researchers; therefore, they constitute a service to the scholarly community. At the same time, the Frontiers journal series operates on a revolutionary invention, the tiered publishing system, initially addressing specific communities of scholars, and gradually climbing up to broader public understanding, thus serving the interests of the lay society, too. Dedication to qualityEach Frontiers article is a landmark of the highest quality, thanks to genuinely collaborative interactions between authors and review editors, who include some of the world's best academicians. Research must be certified by peers before entering a stream of knowledge that may eventually reach the public -and shape society; therefore, Frontiers only applies the most rigorous and unbiased reviews. Frontiers revolutionizes research publishing by freely delivering the most outstanding research, evaluated with no bias from both the academic and social point of view. By applying the most advanced information technologies, Frontiers is catapulting scholarly publishing into a new generation. What are Frontiers Research Topics?Frontiers Research Topics are very popular trademarks of the Frontiers journals series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area.

show abstract

Section: Responsible Consumption and Productionmentioning

confidence: 99%

Reviews in Recommender Systems: 2022

2024

Frontiers Research Topics

View full text Add to dashboard Cite

show abstract

“…Achieving sustainability goals in the fashion industry (Wu et al, 2022 ) requires, for example, to lower the number of returned deliveries and to increase a customers willingness to accept higher prices for higher-quality items. Such goals can be achieved, for example, by providing means to create bundles of items (Li et al, 2020 ; Wiezorek and Christensen, 2021 ) which fit together relieving customers from the burden of performing this task on their own (Zielnicki, 2019 ). In this context, persuasive explanations are needed that help to better motivate customers to choose more sustainable options (Knowles et al, 2014 ).…”

Section: Recommender Systems For Sustainabilitymentioning

confidence: 99%

Recommender systems for sustainability: overview and research issues

Felfernig,

Wundara,

Tran

et al. 2023

Front. Big Data

View full text Add to dashboard Cite

Sustainability development goals (SDGs) are regarded as a universal call to action with the overall objectives of planet protection, ending of poverty, and ensuring peace and prosperity for all people. In order to achieve these objectives, different AI technologies play a major role. Specifically, recommender systems can provide support for organizations and individuals to achieve the defined goals. Recommender systems integrate AI technologies such as machine learning, explainable AI (XAI), case-based reasoning, and constraint solving in order to find and explain user-relevant alternatives from a potentially large set of options. In this article, we summarize the state of the art in applying recommender systems to support the achievement of sustainability development goals. In this context, we discuss open issues for future research.

show abstract

“…We extracted 29095 response sentences from the FASCODE data and classified them into 1000 sentence sets using k-means clustering. 3 Therefore, each answer sentence comprised a class ID, and CO_A evaluated the prediction accuracy for this class ID.…”

Section: Accuracy Evaluationmentioning

confidence: 99%

“…Stitch Fix 1 achieved remarkable growth in the fashion industry using a business model that combines large amounts of data and styling expert knowledge [3]. The fashion industry also actively utilizes artificial 1 https://www.stitchfix.com/.…”

Section: Introductionmentioning

confidence: 99%

Dialog‐based multi‐item recommendation using automatic evaluation

Chung,

Kim,

Yoo

et al. 2023

ETRI Journal

View full text Add to dashboard Cite

In this paper, we describe a neural network‐based application that recommends multiple items using dialog context input and simultaneously outputs a response sentence. Further, we describe a multi‐item recommendation by specifying it as a set of clothing recommendations. For this, a multimodal fusion approach that can process both cloth‐related text and images is required. We also examine achieving the requirements of downstream models using a pretrained language model. Moreover, we propose a gate‐based multimodal fusion and multiprompt learning based on a pretrained language model. Specifically, we propose an automatic evaluation technique to solve the one‐to‐many mapping problem of multi‐item recommendations. A fashion‐domain multimodal dataset based on Koreans is constructed and tested. Various experimental environment settings are verified using an automatic evaluation method. The results show that our proposed method can be used to obtain confidence scores for multi‐item recommendation results, which is different from traditional accuracy evaluation.

show abstract

Simulacra and Selection

Cited by 7 publications

References 0 publications

Reviews in Recommender Systems: 2022

Reviews in Recommender Systems: 2022

Recommender systems for sustainability: overview and research issues

Dialog‐based multi‐item recommendation using automatic evaluation

Contact Info

Product

Resources

About