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Correct information. Here’s an example of Factual Inaccuracy: In the Azerbaijan Grand Prix, you’ll notice a problem with the rich results. The McLaren Renault cars, in positions seven and nine, aren’t called McLaren Honda as Google shows. As per the official website of McLaren and Wikipedia, Mclaren uses Renault Engines and not Honda engines! Also a search for “prime minister of Armenia leaves out the fact that Serzh Sargsyan was prime minister from 2007 to 2008 in the carousel: Factual Innaccuracies are unacceptable as they cause Bias and for a search engine it is of primary importance to serve factually correct information from the Internet without user created biases.
SOURCE OF FACTUAL INFORMATION | KNOWLEDGE GRAPHS In order to give more Phone Number Data leverage to factually accurate content , Google introduced the concept of KGs or Knowledge Graph. The Knowledge Graph is an intelligent model that taps into Google’s vast repository of entity and fact-based information and seeks to understand the real-world connections between them. Instead of interpreting every keyword and query literally, Google infers what people are looking for.

The goal of the Knowledge Graph – as Google explains nicely in their (still relevant) introductory video – is to transition “from being an information engine [to] a knowledge engine.” Google displays what it deems to be the most relevant information in a panel (called a Knowledge panel) to the right of the search results, based on the Knowledge Graph’s understanding of semantic search and the relationship between items. In its early days, these results were static, but today you can book movie tickets, watch YouTube videos, and listen to.
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