Personalized Product Recommendations at Nordstrom
By Allison Wu
February 12, 2020 9 mins read
Delve into how the Nordstrom hackathon team leveraged graph technology to create more personalized product recommendations with existing data.
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Recommend or Perish
By Utpal Bhatt, VP of Marketing
September 9, 2014 3 mins read
“Recommend or Perish” should be the new maxim for companies selling products or services online. It has been said many times before that in this brave new flat world, where the traditional sources of competitive advantage are disappearing rapidly, big… Read more →
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Neo4j at iDate 2014
By Greta Workman, Marketing Coordinator
September 8, 2014 3 mins read
Originally posted on DatingAdvice.com, Written by Hayley Matthews. Neo4j to Share Expert Insights at iDate 2014 Neo4j is a graph database that supports a large number of the world’s most well-known dating sites and apps, such as Meetic, DOWN and SNAP Interactive… Read more →
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