The Best Method for Getting Podcast Recommendations You’ll Love
If 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.
Right off the bat, if you want to use Podible, you’re going to have to log in using your Facebook, Twitter, or Google account. We know the inability to sign up for an account using your email account will be a deal-breaker for many, and we hope this is something Podible will rethink in the future.
When you first log in, you’re going to need to tell Podible a little bit about your favorite podcasts. There are two ways you can find these podcasts, the easiest of which is to just search for them on Podible.
You can also use Podible’s categorizations. Podcasts are categorized by:
- Your goals (health, wealth, and wisdom)
- Genre (comedy, fiction, true stories)
- What you want to keep up with (news & politics, sports, culture)
When you find the podcasts you like, follow them on so that it an make recommendations for you based on your taste.
So for example, if you follow This American Life, Podible recommends Love + Radio. On each podcast page, you can also see related podcasts. Podcasts related to Modern Love, for example, include Poetry Off the Shelf.
In addition to finding recommendations, you can also use Podible to play the podcasts. The podcast player is pretty barebones and you’re more likely to want to take the recommendations to your preferred podcast app.
But if you want Podible to really be in tune with your taste, listening to podcasts on Podible is one of three ways you can make sure the app is in tune with your taste. This is in addition to following podcasts on Podible, and saving your favorite episodes, all of which contribute to Podible’s algorithm.
And if algorithms just aren’t for you, you can stick with human recommendations in other podcasts, listening to shows like The Big Listen.
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