Rise above your competitors with the TikTok recommendation engine.
Al-powered Recommendations revolutionized the way to drive business value. For the past few years, companies that capture more value from Al personalization have grown faster and generated 40% more revenue than competitors.
Invest with zero operation cost with one of the most powerful Recommendation Engines globally.
LeapAI helps you to make the customer journey meaningful with intelligence-recommended items based on the KPIs you want to achieve
Build powerful, flexible recommendations with ease
Expertise in recommendation
- Data collection:guide what event data to use (impression, scene, images, etc)
- Data validation: streamlined approach to check data qualitybr
- Performance: A/B experiments with statistical rigor for CTR/CVR metrics
Leading ML-Based Algos
- Proprietary algorithms: for candidate generation and ranking e.g. Deep Retrieval
- Advanced feature embedding: support large scale of features slots (thousands); NLP, CV, Graph based embedding
- Customization: build the model from ground up to optimize specific scene and objectives
ML Platform for recommendation
- Distributed training: real-time training of massive scale of parameters (hundred million) and data on GPU
- Feature engineering: support real-time features like IPS, able to handle complex computation logic and latency requirement
- Fast Serving: optimized compiler to deliver complex model’s results to end users in real-time
Manage data
1. Custom Schema
- Pre -defined data field that is best configured for each business and industry based on BytePlus’s expertise
2. Flexible Import via GCS/API/SDK
- Prebuilt integrations available for ease of import
3. Custom scene
- Build your own scenes and attributions if your web and app have the unique requirements
- Easy to customize with pre-built industry template to define the scenes and attributions
4. Automatic Data Validation
- Improve data quality through data volume, field validation, join rate and core metrics dashboards
Create model
Robust model setup
- Specific model type, goal, for each scene
Real-time featuring & training
- Engine that gets smarter over time with your users behaviors
Tailor-made strategies for different vertical
- Novel vertical: improve watch time per user
- Ecommerce: increase ARPU
- HR platform: increase applications per user
Get prediction
Get real time prediction result
- Low latency prediction despite complex model
Post-filtering
- Introduce diversity for recommendations to cover large SKUs clients Manual filtering for results to cater to business requirements such as time sensitive seasonal campaigns, business KPIs and etc.
Measure the performance
Real-time performance uplifts
- Monitoring and decision making made easy with real-time dashboard
Insights
- Granular data analysis for different metric, different scenes and models