AI · Recommendation
Systems
Recommendation Systems recommendations, relevant.
Personalization engines that lift engagement.
+35%
Engagement lift
<50ms
Latency
Long-tail
Coverage
Overview
The capability
Personalization and recommendation engines that surface the right content, product or match for each user.
Hybrid filtering with real-time updates and cold-start handling.
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Capabilities
What it does
Collaborative Filtering
User-item matching
Content-Based
Item similarity
Real-time
Sub-second updates
Cold Start
New user/item handling
Multi-objective
Balance engagement & revenue
A/B Testing
Measure lift
Use Cases
Where it shines
E-commerce
Media streaming
Marketplaces
Dating
Job matching
Technology
Models & tools
PyTorch
Two-Tower
LightFM
Redis
FAISS
FAQs
Questions, answered
Sub-50ms serving with caching and ANN.
Yes — content-based and popularity fallbacks.
Yes — multi-objective ranking.
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