Enhancing Recommender Systems with Hybrid Knowledge-Graph Attention Networks (KGAT)

In the competitive digital market, keeping customer interest is crucial for any business. Recommender systems are key tools in this, helping to keep users engaged and loyal. Graph-based recommender models are particularly effective, and able to handle complex data and relationships within their networks. Especially for businesses with frequently changing products, finding a recommender system … Continue reading Enhancing Recommender Systems with Hybrid Knowledge-Graph Attention Networks (KGAT)