Our Favorite Posts Of Last Week (Apr 15, 2018)

Introducing Semantic Experiences with Talk to Books and Semantris

Natural language understanding has evolved substantially in the past few years, in part due to the development of word vectors that enable algorithms to learn about the relationships between words, based on examples of actual language usage.
Link: https://research.googleblog.com/2018/04/introducing-semantic-experiences-with.html
Word Count: 690

Review-Gating is Now Against the Google My Business Guidelines

review guidelines to clarify that review-gating is not allowed.  They added the following to their guidelines: “Don’t discourage or prohibit negative reviews or selectively solicit positive reviews from customers.
Link: https://www.sterlingsky.ca/review-gating-is-now-against-the-google-my-business-guidelines/
Word Count: 392

Research: Google local algorithm uses 2:1 clustering formula

An investigation from RankRanger’s Mordy Oberstein identifies a distance and clustering pattern in Google’s local algorithm that the author says is consistent regardless of user location. In other words, it appears whether the user is searching from a nearby location or remotely (e.g.
Link: https://searchengineland.com/research-google-local-algorithm-uses-21-clustering-formula-296215
Word Count: 261