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 ...
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
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 ...
When an Audi suddenly won’t start, it’s easy to assume the worst. In this video, we break down a simple, fast fix you can try before spending money at the shop. Follow along step by step and see how a ...
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