Scalable Similar Listings Recommendation System

Scalable Similar Listings Recommendation System

Design a high-scale 'Similar Listings' recommendation engine for a global vacation rental platform with 10M+ properties. The system must surface relevant, available alternatives in real-time (<150ms P99) while a user browses a Listing Detail Page. Focus on the end-to-end ML lifecycle: from multi-modal feature engineering (text, images, metadata) and handling unique inventory availability constraints, to a two-stage retrieval and ranking architecture. Discuss strategies for addressing listing cold-start, training/serving data consistency, and how to optimize for long-term business metrics like booking conversion rate.
LightGBMItem2VecHNSWFAISSSparkKafkaRedisWord2VecVision Transformer
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