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Product details:
- ISBN 10: 3030552187
- ISBN 13: 9783030552183
- Author: Nima Dokoohaki
This book includes the proceedings of the first workshop on Recommender Systems in Fashion 2019. It presents a state of the art view of the advancements within the field of recommendation systems with focused application to e-commerce, retail and fashion. The volume covers 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 social fashion-based recommendations (outfits inspired by influencers), product recommendations, or size and fit recommendations.
Table of contents:
Part I. Cold Start in Recommendations
Fashion Recommender Systems in Cold Start
Part II. Complementary and Session Based Recommendation
Enabling Hyper-Personalisation: Automated Ad Creative Generation and Ranking for Fashion e-Commerce
Two-Stage Session-Based Recommendations with Candidate Rank Embeddings
Part III. Outfit Recommendations
Attention-Based Fusion for Outfit Recommendation
Outfit2Vec: Incorporating Clothing Hierarchical MetaData into Outfits’ Recommendation
Part IV. Sizing and Fit Recommendations
Learning Size and Fit from Fashion Images
Part V. Generative Outfit Recommendation
Generating High-Resolution Fashion Model Images Wearing Custom Outfits
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