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The most common recommendation engines we interact with daily involve social media (the people we may know), retail (the products we may like), and entertainment (the music, clips and/or movies presented next in our streams). Yet these are just the tip of the recommendation iceberg. When we look deeper into the inner workings of the Read the full article…

User attention spans online are quite short today with all the options vying for their eyeballs. Gasification is an approach that surfaced as being an effective way to engage with users in a more engaging and interesting manner. Gamification in a non-generic, personal manner with the right incentives for each individual requires a very complete Read the full article…

User personalization is intended to tailor each individual’s experience to them and really provide a more human element to the interaction. Providing this aspect of feeling known and understood rather than just being a generic set of eyes can go a long way towards more fulfilling and continued engagement with your users.

At GraphConnect at the end of April the Neo4j team announced the release of Neo4j 3.0. We had the opportunity to celebrate this release at The Honest Company last night with the Graph Database LA Meetup group where I shared many of these highlights from the official Neo4j announcement. The first release in the 3.x Read the full article…

A knowledge graph as it relates to individual organizations is a unification of information across that organization enriched with contextual and semantic relevance. Introducing a knowledge graph creates a comprehensive and baseline set of knowledge accessible by personnel, applications and customers alike to gain understanding and drive actions and direction.