Personal Assistant Systems
On Softmax Direct Preference Optimization for Recommendation Yuxin Chen 1 Junfei T an
Recommender systems aim to predict personalized rankings based on user preference data.
When dating apps get hacked, your private life goes public
The ShinyHunters hacking group claims to have accessed Bumble and Match systems, highlighting how phishing attacks can threaten major online platforms.
Multi-Objective Intrinsic Reward Learning for Conversational Recommender Systems
Conversational Recommender Systems (CRS) actively elicit user preferences to generate adaptive recommendations. Mainstream reinforcement learning-based CRS solutions heavily rely on handcrafted reward functions, which may not be aligned with user intent in CRS tasks.
Supply-Side Equilibria in Recommender Systems
In the music industry, artists have changed the length and structure of songs in response to Spotify's algorithm and payment structure [ Hodgson, 2021 ].
