fashionX@RecSys2020: Workshop on Recommender Systems in Fashion
Online Fashion retailers have significantly increased in popularity over the last decade, making it possible for customers to explore hundreds of thousands of products without...
FAccTRec@RecSys2020: 3rd Workshop on Responsible Recommendation
The 3rd FAccTRec Workshop on Responsible Recommendation at Recys 2020 is a venue for discussing problems of social responsibility in building, maintaining, evaluating, and studying recommender systems,...
ComplexRec@RecSys2020: 4th Workshop on Recommendation in Complex Environments
For the past three years (2017, 2018, 2019), the ComplexRec workshop series has offered an interactive venue for discussing approaches to recommendation in complex scenarios that have...
CARS@RecSys2020: Workshop on Context-Aware Recommender Systems
The primary goal of the CARS workshop is to revive the CARS topic and broadly discuss the main features of the next generation of CARS...
FairUMAP@UMAP2020: 3rd Workshop on Fairness in User Modeling, Adaptation, and Personalization
The 3rd Workshop on Fairness in User Modeling, Adaptation, and Personalization aims to bring together experts from academia and industry to discuss ethical, social, and...
MultiStePS@UMAP2020: Workshop on Personalization for Multi-stakeholder Public Services
Nowadays, with the digital revolution and the increasing popularity and adoption of e-government initiatives, public agencies from all over the world are implementing fully digital...
NeuRec@ICDM2020: Workshop on Advanced Neural Algorithms and Theories for Recommender Systems
NeuRec seeks recent, significant work on utilizing neural algorithms for intelligent recommender systems. The workshop calls for papers (up to 8 pages, with an option...
WICRS2020@AAAI: Workshop on Interactive and Conversational Recommendation Systems
Recent years have seen an increase in work in interactive, sequential (e.g., session-based) interactions with recommender systems. Furthermore, the rise of conversational AI-based assistants in...