What is a recommendation engine?

Better yet, why do some apps succeed while others flop?

Why Are They Game-Changers?

Recommendation engines are the ultimate cheat code for keeping users hooked. They know your interests, your vibe, and what makes you tick. The result? Endless content that feels just right.

Remember Vine? The OG short-form video app that had its 15 seconds of fame before vanishing in 2017. It wasn’t a lack of talent or viral videos that ended Vine—it was the lack of a solid recommendation engine. Users had to scroll endlessly, hoping to stumble upon something good. Spoiler alert: they got bored and left.

Now think about TikTok. Its secret weapon? A powerhouse recommendation engine that knows you better than you know yourself. It’s the reason you go in to watch one video and come out two hours later wondering where the time went. TikTok’s magic lies in serving exactly what you’ll love.

And it doesn’t stop there. From Amazon showing you the perfect next purchase, to Spotify curating playlists you didn’t know you needed, to Netflix nailing your Friday night binge-watch, recommendation engines drive the biggest players in the game.

What Does podbog introduce?

Imagine a personal concierge who knows exactly what you love and serves it on a silver platter—welcome to the world of recommendation engines!

Recommendation engines are normally built on extremely large amounts of data. They generate numerical representations of users and items, and then they use these representations to find similarities between users. If two users have similar tastes, the engine will recommend content that one user likes to the other. Unfortunately, this traditional approach doesn’t work well without the data.

With the emergence of large language models, we can now build systems with reasoning capabilities. These models can understand the content of the podcasts and, given a que from the user, recommend the most relevant content.

But what if a listener isn’t into your content? No podbog will still deliver the most relevant options and tell them why it’s worth their time.

It’s like having a hype man chat with your listeners.

Us vs. Them

Here’s the kicker: other platforms have recommendation engines, but they’re not working for you. They’re working for the platform. That means your listeners are just as likely to be shown someone else’s content if it keeps them around longer.

Enter podbog, your personal recommendation engine. It’s built to spotlight your content and nothing else. Your listeners get served the best of what you’ve got—no distractions, no detours:

• Better Ratings
• More Engagement
• Higher Retention