New Feature Recombee Item Segmentations. Read more
Domains / Music, Podcasts

AI-Based Music Recommendations

Utilize insights into listeners’ preferences to offer a listening experience tailored to each user - just like Spotify!

Use Cases

Recommended Songs For You

Boost engagement with 1:1 personalized music and podcasts discovery.

Recommended Artists For You

Inspire your users with work from artists they might enjoy based on their listening history.

Add To Queue

Enhance the discovery of new songs by suggesting what to add to the queue as the playlist nears its end.

Same Category/Genre Content For You

Make your platform the ultimate destination for never-ending entertainment with ongoing suggestions of engaging content.

Same Artist For You

Recommend more content from favorite artists.

Quick Search

Match search queries and tailor the music and podcast selection to individual preferences.

Recently Listened

Nothing worse than not figuring out the name of a song you recently came across. Make sure your users never have that problem.

Similar Songs/Podcasts

Satisfy the desire for more content based on previously relished music and podcasts.

More From This Artist

Allow your listeners to immerse in the work of their favorite artist.

Play Next

Don't disrupt the stream. Deliver recommendations for more music or podcasts at the end of playback.

Popular & Trending

Showcase the diversity of your platform with the hottest local hits in specific regions.

Email Personalization

Sweeten the streaming experience through personalized emails with music and podcasts tailored to the user's taste.

Similar Artists

Present new artists based on current preferences.

Increase the number of subscribers and time spent with personalized playlists and podcasts

With more aspiring artists and easy access to music and podcasts, it is no easy task to stay competitive. We analyze consumed content, favorite artists, speakers, genres, or descriptions in multiple languages, to help your platform offer podcasts and music recommendations tailored to personal tastes.

Beyond basic data, Recombee’s recommendation engine works with information about which songs/podcasts were listened to till the end, which halfway or skipped completely. Utilize Recombee to offer recommendations of genres, artists, songs or playlists to keep the listener entertained and eager to revisit your platform.

Recombee’s robust recommendation engine analyzes item properties such as title, genre, author, language or tags and interactions like view, replay, like or rating. Autoplay is one of many features that Recombee offers to the listeners and enhances their time spent on the platform.

Core Technology

Adapting to your data

Adapting to your data

A robust system that can utilize all data available to generate great recommendations for your users, including collaborative filtering and content-based models.

Dynamically Retrained Models

Dynamically Retrained Models

Real-time content personalization that adapts to the flourishing customer’s tastes and considers the newly added music or podcast content.

Specific Functionalities to Music Platforms

Specific Functionalities to Music Platforms

Recommendations taking into account the users’ listening time; which titles were listened to until the end, which were listened to halfway or skipped completely.

AI-powered A/B Testing

AI-powered A/B Testing

In-house AutoML AI applied to keep maximal KPIs and advance the deep learning algorithm functions.

Advanced Business Rules

Advanced Business Rules

Boosters or filters to push forward desired songs or genres and easy to manipulate, adjustable rules for additional optimization of your content.

Real AI Inside

Real AI Inside

Reinforcement learning and other algorithms designed to recognize the preferences of individual users and predict desired music or podcast with higher accuracy boosting user engagement.

Chosen Customers

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