Abstract: This paper proposes a cold start recommendation model that integrates contrastive learning, aiming to solve the problem of performance degradation of recommendation systems in cold start ...
Abstract: Designing AI-based applications personalized to each user's behavior presents significant challenges due to the cold start problem and the impracticality of extensive individual data ...
Behavior is at the heart of nearly every challenge in the workplace, from leadership and fair decisions to high performance and AI adoption. But how should organizations go about influencing behavior?
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