Post by on Nov 29, 2023 10:54:35 GMT
We use machines as intermediaries. The videos will be available online at some point. Editor's Note: That's it for now! But today I want to talk about a point from my talk that I found really interesting and that kind of changed the way I approach content creation, and that was the idea of writing content that was more for Google, the robot. Being easy to understand actually makes you a better writer and helps you write better content for humanity. It's a win-win. Relationships between entities, words, and how people search.
To understand how Google currently parses content and understands its meaning Phone Number List Google spends a lot of time, effort, and money in areas like neural matching and natural language processing, which are basically trying to Understand when people speak and what are they talking about? This evolves as search becomes more conversational. But a lot of times, someone is searching and they don't exactly know what they want, and Google still wants them to get what they want because that's how Google makes money.
They spend a lot of time trying to understand the relationships between entities, between words, and how people use words to search. The example Danny Sullivan gave online (and I think it's a really good example) is if someone was experiencing the soap opera effect on television. If you've ever watched soap operas, you'll notice that they look a little weird. Someone may be experiencing this but have no idea what it is called, and they can't Google the soap opera effect because they don't know? content like that. Neural matching could help Google understand when someone searches Why does my TV look funny.
To understand how Google currently parses content and understands its meaning Phone Number List Google spends a lot of time, effort, and money in areas like neural matching and natural language processing, which are basically trying to Understand when people speak and what are they talking about? This evolves as search becomes more conversational. But a lot of times, someone is searching and they don't exactly know what they want, and Google still wants them to get what they want because that's how Google makes money.
They spend a lot of time trying to understand the relationships between entities, between words, and how people use words to search. The example Danny Sullivan gave online (and I think it's a really good example) is if someone was experiencing the soap opera effect on television. If you've ever watched soap operas, you'll notice that they look a little weird. Someone may be experiencing this but have no idea what it is called, and they can't Google the soap opera effect because they don't know? content like that. Neural matching could help Google understand when someone searches Why does my TV look funny.