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Relevance, pertinence and quality in search engines

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Relevance, pertinence and quality in search engines

To the basics in Information Retrieval, so the science behind search engines , belong the read more

All you should know as an SEO about entity types, classes & attributes

There is little information about the important elements of the Google Knowledge Graph such as read more

Micro intents and their role in the customer journey

During my Google Core Update analyses, it became clear to me that classifying keywords according read more

How does Google understands search terms by search query processing?

This article deals with the role of entities in the interpretation of search queries. I read more

Knowledge Panels & SERPs for ambiguous search queries

A major challenge for Google is the delivery of knowledge panels and SERPs for search read more

Evolution of Marketing: From Advertising to Content – From Push to Pull

Marketing has evolved rapidly over the past 20 years, especially due to the Internet. And read more

How does Google process information from Wikipedia for the Knowledge Graph?

The biggest challenge for Google with regard to semantic search is identifying and extracting entities, read more

How can Google identify and rank relevant documents via entities, NLP & vector space analysis?

This article deals with how Google identifies and ranks appropriate content for entity-related search queries read more

Insights from the Whitepaper “How Google fights misinformation” on E-A-T and Ranking

In 2019, Google presented a very interesting whitepaper titled “How Google Fights Disinformation” at the read more

Natural language processing to build a semantic database

This article is a short introduction to the topic of an entity based index relevant read more

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