Recommender personalized pathways

Discover user and content-driven recommendations that resonate

task illustration

Recommender system making smooth coldstart

Predicting user content recommendation was never easier. Our recommender system can work from cold start by using content information. It carefully catches every user activity to improve recommendation quality during initial user data collection.

Feature Overview

System functionality

Crafting personalized experiences from content to user behavior insights


Recommendations from empty user data bank (content only)

Behavior match

Recommendations based on user behavior that uses typical user actions for similar events

Insight speed

Rapid collection of user behavior information, utilizes every droplet of user activity

Awareness map

Building user content awarness map for heuristic building

System application examples*

*NDA issue: These examples are not real cases. Cases of our clients are all under strict NDA and we cannot demonstrate them, these examples are solutions that can be build with our components


Educational content recommendation

Getting a broad overlook of feedback on goods and services

Knowledge proximitiy surface estimation for every student

Test and theory prediction

Potential learning problem estimation and alerting


Content recommendation for e-commerce site

Predicting best connected purchases for a user

Predicting materials for user to read


Churn prediction

Predicting if user is going to leave the site an making alert


User profiling

Building concept connection map

Estimating set of given characteristics for given site


Recommender system advantages

Pros of our user behaviour and content analysis solutions

Cold start

Allows working from small or zero amount of user behaviour data


Can be configured for your recommendation task and domain knowledge of your experts can be fully utilized


Reason of every recommendation is accessible and can be expanded more according to your request.

Easy to install

Compatible with multiple systems including hierarchical ones


Component features

triangle-filled Scalability
triangle-filled Modularity and full customization
triangle-filled Browser visual interface
triangle-filled Robust (processing speed up to 0.01 sec.)
triangle-filled Can run on limited equipment
triangle-filled Outputs a rich data stream
triangle-filled Builds user awareness set
triangle-filled API infrastructure integration
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Interested in Exploring More?

Whether you're seeking additional industry examples or wish to discuss a specific case in detail, we're here to help. Contact us to start the conversation and discover how our solutions can meet your needs.