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All Blog Posts Tagged 'association' (6)

Data Modelling Topologies of a Graph Database

The associative data graph database model is still a heavy hitter, stacking up well against property graphs and triples/quadruples. Expect a comeback.

Definition

There is a lot of confusion with the definition of graph databases. In my opinion, any definition that avoids any reference to the semantics of nodes and edges or their internal structure…

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Added by Athanassios Hatzis on June 17, 2017 at 3:00am — No Comments

Indicator Based Recommenders – The One We Missed

Summary:  In our recent article on “5 Types of Recommenders” we failed to mention Indicator-Based Recommenders.  These have some unique features and ease of implementation that may be important in your selection of a recommender strategy.

 

A few weeks ago in the midst of our series on recommenders we published an article “5 Types of Recommenders” in which…

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Added by William Vorhies on February 14, 2017 at 9:38am — 1 Comment

Deep Learning and Recommenders

Summary:  In this last article in our series on recommenders we look to the future to see how the rapidly emerging capabilities of Deep Learning can be used to enhance recommender performance. 

 

In our first article, “Understanding…

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Added by William Vorhies on January 31, 2017 at 9:30am — No Comments

Recommenders: Packaged Solutions or Home Grown

Summary:  There are many sources of packaged recommenders including the more comprehensive Digital Personalization platforms.  It’s also possible to code your own.  Here are a few things to consider.

 

In our first article, “…

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Added by William Vorhies on January 24, 2017 at 2:00pm — No Comments

5 Types of Recommenders

Summary:  There are five basic styles of recommenders differentiated mostly by their core algorithms.  You need to understand what’s going on inside the box in order to know if you’re truly optimizing this critical tool.

 

In our first article, “…

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Added by William Vorhies on January 17, 2017 at 9:00am — 2 Comments

Understanding and Selecting Recommenders

Summary:  In this multi-part series we walk through the full landscape of Recommenders.  In this article we cover business considerations as well as issues for Recommenders as a group.  In the next articles we’ll discuss the details of the five major types of recommenders, improving their performance, and finally the coming impact of deep learning on Recommenders.

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Added by William Vorhies on January 10, 2017 at 9:00am — 4 Comments

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