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.
Content Recommendations
Videos and Music Integration TipsCore Technology
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
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
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
In-house AutoML AI applied to keep maximal KPIs and advance the deep learning algorithm functions.
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
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.
