Semantic Search Research Paper

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In 2015, Google launched Rank Brain, a machine learning system that’s both a ranking factor and a smart query analysis AI.

Rank Brain, like Hummingbird, seeks to understand user intent behind queries.

Because of the data deluge in scientific publication, finding relevant information is getting harder and harder for researchers and readers.

Building an enhanced scientific search engine by taking semantic relations into account poses a great challenge.

What You Can Do Instead of creating dozens of short, disparate pages each with its own topic, consider creating “ultimate guides” and more comprehensive resources that your users will find valuable.

One of the best approached to keyword targeting isn’t actually keyword targeting so much as it is intent-targeting.

What You Can Do Create content that clearly and concisely answers a common query at the top of the page before delving into more specific details.

Make sure to use structured data to help search engines understand your content and context.

Today, search engine understanding has evolved, and we’ve changed how we optimize for it as a result. Now, you need to understand what those keywords mean, provide rich information that contextualizes those keywords, and firmly understand user intent.

All of these things are vital for SEO in an age of semantic search.

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