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.