New Feature Recombee Item Segmentations. Explore Feature
Where to use
Chosen Examples of Recombee Recommendation Engine
Recombee recommender engine can be utilized in a variety of areas including movies, music, news, books or e-commerce products. Our data scientists help you to set up the right scenarios to fit your domain specific use cases.
Provide users with personalized experience from the very beginning.
- Recommendations tailored to each specific user
- Also applicable to anonymous users
- Improve user experience and satisfaction
- Decrease the time spent searching for relevant content
Product Detail Page
Increase basket size and/or conversion rates with personalized product suggestions.
- Related product/item recommendations applicable not only to e-commerce but also to gaming, e-learning, job boards, etc.
- Show your customers products they might like the most
- Can be used cross-sell, up-sell
- Different editable scenarios
Read Next/Watch Next
Increase time spent and advertising revenue with recommendations on relevant content.
- CTR increase
- Natural Language Processing based recommendations
- Show your users newly released content based on each user’s preference
- Satisfy and amaze your viewers and readers without closing them into a bubble
Increase the click through rate by 30% (CTR) with personalized e-mail marketing.
- Bring users back to your website
- Boost order value and profit margin
- Reduce Purchasing Cycle
Improve relevance of search results and save customers’ time. Apply boosters of certain products in the search ranking to maximize revenue.
- Combination of Search Engine and Machine Learning
- Results based on search query full text matching and user’s interaction data and metadata
- Narrow searches to specific items to save time
- Higher purchase rate and satisfaction
- Aids in the selection process for undecided customer
- Support for typo corrections
- Support for variety of languages, including non-European languages
Articles, News, Media
Job boards, HR, Networking