dbta

Leveraging the Power of Graph Data Science for Personalized Recommendations

Recommendations can be the guiding light for organizations seeking to increase customer engagement, satisfaction, and retainment—all culminating in greater revenue for the enterprise. Great ...
ZDNet

SambaNova is enabling disruption in the enterprise with AI language models, computer vision, recommendations, and graphs

Like artificial intelligence itself, the AI startup SambaNova is interesting across the stack. From software to hardware, from technology to business model, and from vision to execution. SambaNova has ...
dbta

Solving Data Challenges with Knowledge Graphs and Context-Aware Recommendation Systems

Recommendation systems have advanced in recent years, but organizations still grapple with heterogeneous, sparse or insufficient data, as well as problems such as repeated patterns (echo chamber ...
EurekAlert!

XGCN: A library for large-scale graph neural network recommendations

Graph Neural Networks (GNNs) have gained widespread adoption in recommendation systems. When it comes to processing large graphs, GNNs may encounter the scalability issue stemming from their ...
VentureBeat

Pinterest Labs created a graph convolutional network for better Pin recommendations

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Pinterest today shared details about how it created PinSage, a graph ...