Quora is a visually appealing website that looks to a programme application that employs artificial intelligence, data science, and machine learning. It’s a simple notion where you answer other people’s questions about your favorite topic and vice versa.
The use of artificial intelligence and machine learning on Quora has recently increased significantly. It has not only gone deeper with bigger and better models for existing AI and machine learning applications, but it has also broadened the range of domains in which AI and machine learning are applicable.
So how does a platform like Quora uses artificial intelligence and machine learning?
Search for information:
Questions and answers are the main formats of information sharing on Quora. Quora has a slew of AI and machine learning frameworks for question understanding, such as separating data from the question to make the flow easier for others.
An artificial intelligence framework takes an inquiry, organizes question quality, and assists people in easily distinguishing between high-quality and low-quality questions.
Then there’s question-topic labeling, which is when you find out what subjects the question is covering. Working with a brief question text and over a million potential topics to tag on the question makes it a significantly more moving topic that AI and machine learning can easily handle.
Get answers to questions:
The Question Understanding Framework’s output contributes significantly to the next phase in the life cycle of a question: finding solutions from experts. Quora, too, employs artificial intelligence and machine learning frameworks to address this issue. Quora’s Ask To Answer (A2A) feature allows users to submit inquiries to other users, asking them to write answers to particular questions.
Read Content:
Not only does Quora’s feed feature questions for you to answer, but it also contains responses worth reading. Another significant AI and ML challenge is how to position replies in the feed.
The placing of questions and answers in the feed uses similar underlying frameworks, but their aims are entirely different. Therefore, their basic models utilize a distinct arrangement of provisions. Quora does use artificial intelligence and machine learning to determine whether or not an answer is worth reading in the email excerpts it sends to its users.
Maintain high content quality:
One of the most important aspects of a successful user experience on Quora is the quality of the content. As a result, Quora must guarantee that questions, answers, topics, and other material begin at a top standard and sustain a high standard throughout their lives. To do this, Quora employs artificial intelligence and machine learning frameworks to maintain content quality.
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