Latest Articles for User Behavior

Y Social uses digital twins to analyze online interactions and user behavior.

A user-focused method to predict video watch time for better recommendations.

Revealing the threats and defenses of recommender systems.

A fresh look at enhancing recommendation systems by understanding user choices.

Exploring how clearer explanations enhance trust in recommendations.

A new method improves ranking safety for better user experiences.

Overcoming recency bias to enhance user experience in recommendation systems.

Examining the impact of Topics API on digital advertising and competition.

Research shows how algorithms shape user views on social networks.

A new system enhances access and fairness in large language model interactions.

New models blend instant fun with long-term value in content suggestions.

TrendSim simulates social media trends to study misinformation effects.