Ever wonder why your social media feed seems to “read your mind?” One minute, you’re watching a video about travel, and suddenly, your feed is filled with flight deals and hotel recommendations. It’s ...

The main goal of streaming services is to keep you engaged. Netflix focuses on behavior over interests to power its algorithm ...

Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL) Implementation of a ...

However, existing multi-domain recommendation model has mainly two challenges. Firstly, there are no overlapping users to understand the similarities between them. Secondly, the transfer learning ...

It can be relatively cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the ...

Abstract: Eliminating bias from data representations is crucial to ensure fairness in recommendation. Existing studies primarily ... we propose a Fair Counterfactual Representations (FairCoRe) ...

State Key Laboratory of Urban Water Resource and Environment, School of Civil and Environmental Engineering, Harbin Institute of Technology, Shenzhen, Shenzhen 518055, China ...

Algorithms essentially serve as “a mathematical modelling process” to establish “correlations between user behaviour and content features, rather than understanding the content itself ...