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We build collaborative filtering, content-based, hybrid, and deep learning recommendation systems for e-commerce products, content platforms, music and video streaming, job matching, and personalized marketing campaigns.

Recommendation system development at MicrocosmWorks ranges from $25-$50/hour, covering algorithm selection, data pipeline development, model training, A/B testing infrastructure, and production deployment.

Yes, we build e-commerce recommendation engines that provide personalized product suggestions, frequently bought together recommendations, similar item discovery, and real-time session-based recommendations that increase conversion rates.

We address cold start by combining popularity-based recommendations for new users, content-based features for new products, contextual signals like location and device, and active learning strategies that quickly build user preference profiles.

We track precision, recall, NDCG, and coverage metrics offline, then run online A/B tests measuring click-through rate, conversion rate, revenue per session, and user engagement to validate that recommendations drive real business outcomes.