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A Review Paper On The Application Of Knowledge Graph On Various Service Providing Platforms.

机译:关于知识图在各种服务提供平台上的应用的综述文件。

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During the past decade or so, knowledge graphs have stealthily made way into our daily lives, whether through voice assistants (the likes of Alexa, Google Assistant or Siri), spontaneous search results or customized personal shopping experiences through online stores recommenders. Today, we are surrounded and constantly interacting with knowledge graphs on a regular basis. The scope and impact of knowledge graphs and underlying graph databases are still a mystery to people. Considering its smooth entry into our lives, most of us are unaware of how dependent we actually are on the technology. In this paper, we have shown the working of the Google knowledge graph and how the knowledge graph works as the most effective recommendation system. We have discussed how it finds its way through daily life in various fields like Banking, Social media (Facebook, LinkedIn, Netflix), Food application (Uber Eats) and the Healthcare sector.
机译:在过去的十年左右的时间里,无论是通过语音助手(例如Alexa,Google Assistant或Siri等),自发的搜索结果还是通过在线商店推荐者定制的个人购物体验,知识图谱已经悄悄地进入了我们的日常生活。今天,我们被包围并且经常与知识图谱进行定期交互。知识图和基础图数据库的范围和影响仍然是人们的一个谜。考虑到它顺利进入我们的生活,我们大多数人都不知道我们实际上对技术的依赖程度。在本文中,我们展示了Google知识图的工作原理以及知识图如何作为最有效的推荐系统工作。我们已经讨论了它如何在银行,社交媒体(Facebook,LinkedIn,Netflix),食品应用程序(Uber Eats)和医疗保健等各个领域的日常生活中找到自己的方式。

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