Recommendation Systems

10月 302018
 

In an earlier blog post my colleague, Suneel Grover, wrote about how to take advantage of the product recommendations technology implemented in SAS Customer Intelligence 360. He noted that two methods are implemented behind the scenes, a visitor-centric and a product (or item)-centric approach. And most importantly, while some sophisticated [...]

Better product-centric recommendations using SAS Customer Intelligence 360 was published on Customer Intelligence Blog.

10月 252018
 

Recommendation systems work best when you can provide them with as many relevant examples as possible. On the other hand, increasing the number of products or offers leads to recommendation blind spots, especially early on in training the system. This cold-start problem is a challenge for most recommendation systems. SAS [...]

How hybrid recommendations improve SAS Customer Intelligence 360 results was published on Customer Intelligence Blog.

7月 192018
 

In a previous posting, SAS Customer Intelligence 360 was highlighted in the context of delivering relevant product, service, and content recommendations using automated machine learning within digital experiences. Shifting gears, SAS recognizes there are different user segments for our platform. This post will focus on building custom analytical recommendation models [...]

SAS Customer Intelligence 360: Factorization machines, visual analytics, and personalized marketing was published on Customer Intelligence Blog.

7月 132018
 

In part one of this blog posting series, we took an introductory tour of recommendation systems, digital marketing, and SAS Customer Intelligence 360. Helping users of your website or mobile properties find items of interest is useful in almost any situation. This is why the concept of personalized marketing is [...]

SAS Customer Intelligence 360: The Digital Shapeshifter of Recommendation Systems [Part 2] was published on Customer Intelligence Blog.

12月 192017
 

If you’ve ever used Amazon or Netflix, you’ve experienced the value of recommendation systems firsthand. These sophisticated systems identify recommendations autonomously for individual users based on past purchases and searches, as well as other behaviors. By supporting an automated cross-selling approach, they empower brands to offer additional products or services [...]

Customer Intelligence 360: The digital shapeshifter of recommendation systems was published on Customer Intelligence Blog.