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corona pampín humberto jesús (curatore); shirvany reza (curatore) - recommender systems in fashion and retail

Recommender Systems in Fashion and Retail Proceedings of the Fourth Workshop at the Recommender Systems Conference (2022)

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Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Springer

Pubblicazione: 03/2023
Edizione: 1st ed. 2023





Trama

This book includes the proceedings of the fourth workshop on recommender systems in fashion and retail (2022), and it aims to present a state-of-the-art view of the advancements within the field of recommendation systems with focused application to e-commerce, retail, and fashion by presenting readers with chapters covering contributions from academic as well as industrial researchers active within this emerging new field. Recommender systems are often used to solve different complex problems in this scenario, such as product recommendations, size and fit recommendations, and social media-influenced recommendations (outfits worn by influencers).





Sommario

Recommender Systems in Fashion and Retail: Proceedings of the Fourth
Workshop at the Recommender Systems Conference (2022) 
Humberto Jes´us Corona Pamp´in, Reza Shirvany

1. Identification of Fine-grained Fit Information from Customer Reviews in Fashion
Yevgeniy Puzikov, Sonia Pecenakova, Rodrigo Weffer, Leonidas Lefakis,Reza Shirvany
1.1 Introduction 
1.2 Related Work
1.3 Experiments 
1.4 Conclusion 
References

2. Personalization through User Attributes for Transformer-based Sequential Recommendation
Elisabeth Fischer, Alexander Dallmann and Andreas Hotho
2.1 Introduction 
2.2 Related Work 
2.3 Problem Setting
2.4 User Attributes Personalization for Transformers 
2.5 Datasets 
2.6 Experiments 
2.7 Conclusion 
References 

3. Reusable Self-Attention-based Recommender System for Fashion 
Marjan Celikik, Jacek Wasilewski, Sahar Mbarek, Pablo Celayes, Pierre Gagliardi, Duy Pham, Nour Karessli, Ana Peleteiro Ramallo
3.1 Introduction 
3.2 RELATED WORK 
3.3 ALGORITHM
3.4 OFFLINE EVALUATION 
3.5 ONLINE RESULTS 
3.6 CONCLUSIONS
References 

4. Adversarial Attacks against Visually-aware Fashion Outfit Recommender Systems 
Matteo Attimonelli, Gianluca Amatulli, Leonardo Di Gioia, Daniele Malitesta, Yashar Deldjoo, Tommaso Di Noia
4.1 Introduction and Related work 
4.2 Visual attacks against fashion classifiers 
4.3 Experimental setup 
4.4 Results and discussion 
4.5 Conclusions 
References
 
5. Contrastive Learning for Topic-Dependent Image Ranking 
Jihyeong Ko, Jisu Jeong and Kyumgmin Kim
5.1 Introduction 
5.2 Related Work 
5.3 Method 
5.4 Experiments 
5.5 Conclusion 
References 

6. Dataset for Learning Graph Representations to Predict Customer Returns in Fashion Retail 
Jamie McGowan, Elizabeth Guest, Ziyang Yan, Cong Zheng, Neha Patel, Mason Cusack, Charlie Donaldson, Sofie de Cnudde, Gabriel Facini and Fabon Dzogang
6.1 Introduction 
6.2 Data Description 
6.3 Methodology 
6.4 Experiment Results 
6.5 Conclusion 

7. End-to-End Image-Based Fashion Recommendation 
Shereen Elsayed, Lukas Brinkmeyer and Lars Schmidt-Thieme
7.1 Introduction 
7.2 Related work 
7.3 Methodology 
7.4 Experiments 
7.5 Conclusion 
7.6 Acknowledgements 
References 











Altre Informazioni

ISBN:

9783031221910

Condizione: Nuovo
Collana: Lecture Notes in Electrical Engineering
Dimensioni: 235 x 155 mm Ø 371 gr
Formato: Copertina rigida
Illustration Notes:IX, 119 p. 32 illus., 30 illus. in color.
Pagine Arabe: 119
Pagine Romane: ix


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