Walmart is another major player using graph database technology to take recommendations to a new level. Their solution uses customer purchase information to integrate physical in-store purchases and ...

03-23-2023 IMPACT Could the technology behind Netflix’s recommendation engine help fight climate change? Graph databases have long been used to provide customized content.

In the current era of Internet and e-commerce, the research and application of product recommendation system in online mall has become an important field. With the rapid development of big data ...

Analyzing the data/product/customer location/weather based on location/recommended products requires the capability to traverse the data to present a recommendation in real time. The query above ...

This is a guest blogpost by Emil Eifrem, CEO, Neo4j. In his view, four major trends driving interest in graph technology are starting to surface. Let's look ahead to what could be in store for the ...

To satisfy the demand for automated product configuration in manufacturing enterprises, a product configuration recommendation algorithm based on knowledge graph optimization is proposed. Firstly, the ...

Data scientists and leaders in the healthcare industry can use the most advanced graph analytics, known as native parallel graphs, to link datasets across multiple domains.

Automotive giant Daimler is using Neo4j's graph database technology in its HR department. ZDNet spoke to Jochen Linkohr, the manager of HR IT at Daimler, to find out more.

“A pioneering use of H3 and graph technologies, the Foursquare Graph will harmonize the company’s full product suite, allowing for unprecedented querying, visualization capabilities, and ...

As e-commerce and social networking continue to intersect, consumers are increasingly turning towards Facebook or Twitter for product recommendations. ShopSocially is a product recommendation ...