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 solicits the latest and significant contributions on developing and applying neural algorithms and theories for building intelligent recommender systems. Specifically, the workshop solicits papers...
Recommender Systems May Increase Citations [Scholarly Kitchen]
Recommender systems that promote related articles across publisher platforms increase citations according to a new study. The paper, The Citation Advantage of Promoted Articles in...
More than a decade of the ACM RecSys Conference [Alan Said, 2017]
This is already an old blog post from 2017, but still an intersting read. The eleventh edition of the ACM Conference on Recommender Systems (RecSys)...
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...