Countless times every day, Amazon makes a product ... Using graph databases to delve deeper into Scope 3 relationships isn’t essentially different from how LinkedIn uses the technology to ...

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 ...

Today, shoppers have access to more information than ever around products ... especially using traditional databases that tend to store data in tables. That’s why more and more retailers are turning ...

At the individual level, personalized recommendations are becoming increasingly relevant to businesses with a large product portfolio and ... Building a knowledge graph using labeled property graph ...

including product correlations, search queries, and historical purchases. Though personalized recommendations are at the forefront of this discussion, Roberts reminded viewers that graph data science ...

Enter Neo Technology ... That Powers All Types of Recommendations Recommendation systems using graph databases help companies personalize product, content and services offers by leveraging ...

eWEEK content and product recommendations are ... the ‘more modern’ MDM platform incorporates graph technology, infuses insights from the data using advanced analytics and ML, and offers ...

According to Drew Burns, Group Product Marketing Manager for Adobe Target, “With many recommendation engines, customers and prospects receive more suggestions solely based upon the last thing ...

Automotive giant Daimler is using Neo4j's graph database technology in its HR department ... that is one of the key advantages of Neo4j as a product. But you have to think about whether the ...

NEW YORK, May 11, 2023 (GLOBE NEWSWIRE) -- Foursquare, the leading independent geospatial technology ... use of H3 and graph technologies, the Foursquare Graph will harmonize the company’s full ...