The For You page is an algorithm-driven section on TikTok that recommends content based on your likes, interests, follows, and a range of other things. However, the company is now planning to shake things up to avoid repetitive recommendations. MUO – Feed
Continue ReadingIt's late, you can't sleep, and you keep refreshing your YouTube feed, hunting for something original to watch. Alas, the feed keeps giving you recommendations of videos you have already watched, or ancient videos. MUO – Feed
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Confused about what you should buy? These product recommendations and review websites do the hard work so you can get reliable information for your money. A Google search for “best dishwasher” or something similar would be a mess of results. You’ll have to sift through fake reviews and unreliable recommendations from search engine-optimized sites […]
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Reddit has so many people talking about so many things across so many subreddits. How can you get the best recommendations easily? Well, there are a few sites and apps that collect the best of Reddit. You can always sort any subreddit by top posts for the day, week, month, year, or all-time. But that’s […]
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YouTube is rolling out new features designed to give viewers more control over what videos they watch. The new features will help you explore topics and related videos you’re interested in and remove suggestions and recommendations you’re not interested in. YouTube Gives Viewers More Control Over Content In a post on the Official YouTube Blog, […]
Continue ReadingIf you’re looking for new podcast recommendations, there are plenty of ways to find them, such as trying out podcast search engines. But a recent—and arguably more effective—method involves harnessing the power of artificial intelligence for podcast recommendations. Podcast recommendation website Podible can be used in any browser or in iOS app form. Right off the bat, […]
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