How does Quora use artificial intelligence and machine learning?

How does the world’s largest QnA platform Quora use artificial intelligence and machine learning?

Quora is an attractive website that appears like a duet of a program that uses artificial intelligence, data science, and machine learning. It’s a simple concept that allows you to answer other people’s questions about your favorite topic and vice versa. Recently, the use of artificial intelligence and machine learning at Quora has grown dramatically. Not only has it gone deeper with bigger and better models for existing AI and machine learning applications, but it has also expanded the areas where AI and machine learning are used.

How does Quora use artificial intelligence and machine learning?

Search for information

The main format of information exchange on Quora is questions and answers. Quora has a number of AI and machine learning frameworks that enable question understanding, such as separating data from the question to make the rest of the flow easier for others.

An artificial intelligence framework that takes a request, questions the quality agreement, and helps individuals spot top and low quality questions with ease. At this point there is then the question-topic designation, with which you can find out which topics the question is about. Working with a short question text and more than a million likely topics tagging the question makes it a far more moving topic that AI and machine learning tackle with ease.

Get answers to questions

The result of the Question Understanding Framework makes a significant contribution to the next step in the life cycle of a question: Finding solutions from specialists. Here, too, Quora uses artificial intelligence and machine learning frameworks that help it better tackle this problem. Ask To Answer (A2A) is a component of Quora that enables users to send inquiries to other people asking them to write an answer to a specific question.

Read content

On Quora, not only does the feed contain questions for you to write answers to, it also has answers that are worth reading. Positioning responses in the feed is another major AI and ML issue. The positioning of questions and answers in the feed use comparable hidden frameworks, but have completely different goals and consequently use an alternative arrangement of provisions in their basic models. Another place where Quora uses artificial intelligence and machine learning to evaluate responses worth reading are the email excerpts that Quora sends to its users.

Maintaining high quality content

Content quality is one of the most important factors in a great user experience on Quora. Hence, Quora must ensure that questions, answers, topics, and other content are received at the highest level and remain outstanding throughout their lives. To do this, Quora uses artificial intelligence and machine learning frameworks to keep up with content quality. Here are some of them:

Detection of duplicate questions

This includes identifying different questions with a similar purpose and combining them into a single standard question. Quora talked at length about the research on the duplicate question topic and even provided a record of duplicate questions and started a Kaggle rivalry for you to play with.

Oppressive content recognition: You have a “Be Nice, Be Respectful” approach to Quora, but it is always difficult to maintain in online networks. Accordingly, Quora uses artificial intelligence and machine learning in combination with human analysts to help identify hostile or destructive substances, making it all the more likely that customers can be assured that they are having an exceptional Quora experience.

Spam detection: Spam location is a major issue for the most popular user-created content applications, and Quora is the same. It has a number of different machine learning frameworks working in mix to handle spam content and users who post it.

Platform for AI and machine learning

One of the best developments for Quora since 2015 is the formation of a new team for AI and machine learning platforms. The goal of the AI ​​and machine learning platform team is to make it easier for engineers in the rest of the company to work on artificial intelligence and machine learning, both offline (model training) and online (model serving).

That being said, Quora uses natural language processing to combine questions with the same wording / almost similar intended meaning. Deep learning to intelligently allow or disallow credentials so that you can pretty easily see what the intent of the person answering the question is. Similarity and metric learning to avoid plagiarism. Finally, Quora also uses reinforcement learning to promote great content from all users, especially the new ones.

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