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Recommendation systems and smart feeds for applications
We create recommendation systems and smart feeds that boost user engagement, increase time spent in the app, and enhance monetization. Our solutions leverage advanced algorithms and seamlessly integrate with your products.
WHO IS THIS FOR?
- Social Networks: Personalized feeds of posts, photos, and videos to increase engagement and time spent in the app.
- Marketplaces: Product recommendations and curated collections to drive conversions and average order value.
- Streaming Services: Personalized suggestions for movies, series, and music tracks to improve user retention and interaction time.
- Content Platforms: Smart feeds for articles, news, and videos to increase views and depth of content consumption.
What We Offer
Development of Recommendation Systems
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What It Is
Personalized recommendation systems that suggest content (photos, videos, posts) based on user preferences, behavior, and context. -
Who It Is For
Social networks, marketplaces, streaming services looking to retain users and increase engagement. -
How we work
→ Analyze user data and business goals to create relevant recommendations.
→ Develop algorithms based on collaborative filtering, deep learning, and hybrid approaches.
→ Implement systems that update in real time and adapt to individual users. -
Example
A recommendation system for a social network increased engagement by 25% and average time spent in the app by 15%.
Building Smart Feed
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What It Is
Feeds that personalize content for each user, sorting it by relevance, engagement, or other business metrics. These feeds help retain users and increase activity. -
Who It Is For
Social networks, news apps, video platforms, and other content services. -
How We Work
→ Develop ranking algorithms that account for user behavior, preferences, and context.
→ Set up real-time data processing for minimal latency.
→ Optimize feeds for various goals: increased viewing time, higher CTR, or better engagement. -
Example
A smart feed for a video platform that updates recommendations in real time. This solution increased average video viewing time by 30% and user interactions by 20%.
Optimizing Business Metrics
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What It Is
Tuning recommendations to meet your business goals: increased CTR, interaction time, conversions, or other KPIs. -
Who It Is For
Companies that are looking for recommendations that directly drive growth in key performance indicators. -
How We Work
→ Set up A/B testing to determine algorithms that best impact business metrics.
→ Optimize recommendation ranking and algorithm parameters to achieve your goals.
→ Provide monitoring tools to track CTR, interaction time, conversions, and other metrics. -
Example
A recommendation system for a marketplace increased conversions by 18% through personalized product suggestions and optimized content display.
WHY CHOOSE US?
PERSONALIZATION
We develop systems that consider user behavior, preferences, and context, such as real-time recommendation updates based on recent actions.
PERFORMANCE
We optimize algorithms for minimal latency—less than 200 ms, even with millions of active users.
RESULTS
Our solutions increase CTR by up to 20%, engagement by up to 30%, and LTV through precise recommendations and effective ranking.
TECHNOLOGIES
We use TensorFlow and PyTorch for deep learning, Elasticsearch for scalable search, and Spark for big data processing.
our cases
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Do you want to increase user engagement and retention?
Contact us and we will offer a solution on how to embed smart recommendations and feeds into your product so that the content finds its audience!"
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