In artificial intelligence, “semantics” refers to a machine’s ability to smartly segment information similar to how a human would. Different branches of machine learning may have different uses for ...

Semantics = theory of meaning, yet most define semantic search with a focus on intent. “Meaning” is not the same as “intention.” Learn more. Since 2013, Google has been gradually developing into a 100 ...

For simple user queries, a search engine can reliably find the correct content using keyword matching alone. A “red toaster” query pulls up all of the products with “toaster” in the title or ...

Sometimes, you can enter into a technology too early. The groundwork for semantics was laid down in the late 1990s and early 2000s, with Tim Berners-Lee's stellar Semantic Web article, debuting in ...

The increased use of language understanding in search engines has prioritized writing content that is organized by topics and subtopics and communicates the message in a way that lacks ambiguity.

Web searchers these days are a sophisticated bunch. We expect more from our search results, and sometimes a list of links just doesn't cut it. Plus, who wants to muddle around those results trying to ...

Have you ever searched for something online, only to feel frustrated when the results didn’t quite match what you had in mind? Maybe you were looking for an image similar to one you had, or trying to ...

Artificial intelligence (AI) is changing the way we look at the world. AI "robots" are everywhere. From our phones to devices like Amazon's Alexa, we live in a world surrounded by machine learning.

Today’s marketing teams juggle dozens of platforms — CRM, email, social media, analytics, personalization engines and more. Each system generates valuable customer and campaign data, yet too often ...