Vector similarity search uses machine learning to translate the similarity of text, images, or audio into a vector space, making search faster, more accurate, and more scalable. Suppose you wanted to ...

When it comes to machine learning, there are some broad concepts and terms that everyone in search should know. We should all know where machine learning is used, and the different types of machine ...

Google uses the same search algorithms for most languages, but there are certain cases where a language requires a different algorithm to interpret the queries. This is stated by Google’s Search ...

As Google continues to leverage more artificial intelligence and machine learning in Google Search, one may wonder in what ways does AI and machine learning help Google Search perform its daily tasks.

Tulane University and the University of Chicago researchers have conducted research demonstrating that user search habits and the relevance‑based optimization of search engines contribute to the ...

Scientists explore the links between game-solving search tree algorithms and the subjective experience of playing various turn-based games Iahikawa, Japan - Humans benefit from playing games more than ...

Gender bias in search algorithms has effect on users, new study finds Search results can influence us in ways that reinforce social inequality Date: July 12, 2022 Source: New York University Summary: ...

To what extent are algorithms and SEOs responsible for Google Search biases? Explore the research - it's more complicated than you think. In 2016, the U.N. declared that access to the internet is a ...

Exploring the future of SEO, we confront an unmistakable force: artificial intelligence. The question is not whether AI will affect the future of SEO, but how it will. In this article, I'm going to ...