By
Paula ParisiSeptember 2, 2022
Instagram is testing a new way users can personalize feeds based on their own input rather than relying exclusively on algorithms. Parent company Meta Platforms is inviting select users to mark posts in Explore as “Not Interested,” and plans to soon add ways to stop seeing posts with certain words, phrases or emoji in the caption or hashtags by adjusting filter settings. The Explore tab lets users discover new content and accounts they aren’t currently following. “By tapping Not Interested, it removes the post from your feed immediately, and we’ll suggest fewer posts like it in the future,” Meta said. Continue reading Instagram Users Customize Recommendations in Latest Test
By
Emily WilsonOctober 18, 2019
Ahead of the launch of two new streaming services, Disney+ and Apple TV+, Hulu is taking steps to add more personalization to its platform. After launching an enhanced recommendation engine that takes into account what viewers watch and when, it’s now introducing Like and Dislike buttons that will enable more personal and accurate content recommendations. The new buttons now appear across the Hulu platform. When using a living room device, you’ll see them on the Details page; when using a computer, you’ll see them on the Homepage.
Continue reading Hulu Advances Personalization with Like/Dislike Buttons
While Facebook’s bot platform remains in its early stages as developers test potential apps and the challenges involved with natural language processing, a company named And Chill has created a movie recommendation engine that may be ideal for the social platform. Going beyond the basic like/dislike model, the new bot can be accessed through Messenger or SMS and asks each user for specific reasons why he or she likes a given movie. The information is then analyzed by And Chill to provide appropriate recommendations of similar films and links to YouTube trailers. Continue reading Facebook Bot Recommends Movies Based on Your Interests