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

ISBN-13: 9783031221910 / Angielski / Twarda / 2023 / 121 str.

Humberto Jesús Corona Pampín; Reza Shirvany

Opis

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).

Spis treści

Recommender Systems in Fashion and Retail: Proceedings of the Fourth

Workshop at the Recommender Systems Conference (2022) 

Humberto Jes´us Corona Pamp´ın, 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