Co-Founder and CEO of Periscope, Kayvon Beykpour, speaking on stage during TechCrunch Disrupt NY 2015.
Noam Galai | Getty Images | TechCrunch
Following topics on Twitter is a chaotic experience. You enter a question of interest, such as a particular sport or event, and your feed is filled with all kinds of irrelevant posts along with the content you want.
Twitter recognizes the problem and is now working to fix it. On Tuesday, the company said it uses machine learning technology to filter out the noise and allow users to follow specific topics and see high-quality posts.
"The most important thing here is to make it as easy to follow an interest as to follow an account," said Sriram Krishnan, Twitter's senior director of product management, at an event at the company's headquarters in San Francisco.
Cleaning up the user experience is one of Twitter's most important challenges as it aims to keep customers engaged. Last month, the company rolled out a redesigned website designed to create an "accessible and universal way to join the conversations [people] that cares."
It followed a revenue report, where Twitter reported better-than-expected revenue and beat estimates for active users who use daily, or people who could show an ad on the app or website. The MDAU figure increased 1
The new tracking feature is already being tested with some users of Twitter's Android app and will be released to all users by the end of the year, said Kayvon Beykpour, Twitter's product manager, at Tuesday's event.
As users follow a topic they care about, the new feature will show them a stream of relevant tweets from multiple accounts compiled by Twitter & # 39; s algorithms. Initially, it will focus on sports topics.
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