Why Recommendations On Netflix, Amazon, Or WeChat Could Be More Influential Than You Think [Forbes]
“When’s the last time you saw a movie in a cinema? How about the last time you watched a movie on Netflix? If you’re like...
RS_Datasets: Download, Unpack and Read Recommender Systems Datasets into pandas.DataFrame [Darel13712]
rs_datasets “allows you [to] download, unpack and read recommender systems datasets into pandas.DataFrame as easy as data = Dataset().The following datasets are available for automatic...
Covid-19 Open Source Project Recommender [Adam Barnhard@TowardsDataScience]
Adam Barnhard “built a COVID-19 Project Recommendation System to help people discover open source projects in the community. [He had] been inspired by how much...
Watchworthy’s personalized TV recommendation app will help you find your next binge [TechCrunch]
Ranker, an online publisher that turns crowdsourced lists and fan rankings into a data business, is now turning its attention to the world of streaming...
RecSysChallenge@RecSys2020
The RecSys Challenge 2020 will be organized by Politecnico di Bari, Free University of Bozen-Bolzano, TU Wien, University of Colorado, Boulder, and Universidade Federal de Campina Grande, and sponsored by Twitter....
REVEAL@RecSys2020: Workshop on Bandit and Reinforcement Learning from User Interactions
State-of-the-art recommender systems are notoriously hard to design and improve upon, due to their interactive and dynamic nature. In particular, they involve a multi-step decision-making...
PodRecs@RecSys2020: Workshop on Podcast Recommendations
In 2019, 51% of the United States population had listened to at least one podcast, according to Edison Research’s “Infinite Dial 2019” research study. The...
ORSUM@RecSys2020: 3rd Workshop on Online Recommender Systems and User Modeling
The objective of this workshop is to foster contributions and bring together a growing community of researchers and practitioners interested in online, adaptive approaches to...
OHARS@RecSys2020: Workshop on Online Misinformation- and Harm-Aware Recommender Systems
The aim of this workshop is to bring together a community of researchers interested in tackling online harms and, at the same time, mitigating their...
IntRS@RecSys2020: Joint Workshop on Interfaces and Human Decision Making for Recommender Systems
The IntRS workshop series focuses on the “human side” or recommender systems. Its goal is to integrate modern HCI approaches and theories of human decision...