Home Services Artificial Intelligence/Machine Learning Recommender Systems
Artificial Intelligence/Machine Learning

Recommender Systems

Next best action, managers support in planning, or personalized customer experience - recommender systems offer a range of customized solutions that are built around content-based, collaborative filtering, or hybrid approaches. They are widely used in modern organizations and play a pivotal role in enhancing employee productivity and customer satisfaction.
Make An Enquiry

How to go beyond simple recommendations: unleash the true potential of AI?

When building effective recommendation systems using AI/ML, focus on extracting relevant features that enhance model performance. We evaluate different algorithms based on their suitability for data and business requirements when making model selections. We believe in the effectiveness of hybrid models that combine collaborative and content-based approaches for more accurate recommendations. For example, we use techniques such as cross-validation to train models and ensure that models generalize well to unseen data. With such a complex approach, our solutions can be used in many use cases, from personalizing customer experiences, through suggesting the next best action, to decision support systems.

Data-driven decision making

Harness the power of machine learning to uncover hidden patterns, enabling you to make informed decisions based on real insights rather than hunches.

Streamlined operations

Optimize internal processes by suggesting the best next action for employees, managers, and teams. This improves efficiency, reduces bottlenecks, and accelerates progress.

Personalized experiences

Engage your customers with tailored recommendations that resonate with their individual preferences and needs. Provide your customers with individualized content that will foster a stronger connection and drive loyalty.

Continuous improvement

Refine and update artificial intelligence models based on new real-world data, ensuring that the recommendation system's learning capabilities make it a true intelligent assistant for your business and customers.

The beauty of AI-based recommender systems lies in their ability to learn from complex patterns and behaviors. This makes them tools with high potential for unlocking new revenue streams, streamlining operations, and driving customer loyalty. Combining classic ML models with content customization with LLM models, we're seeing recommender systems become a critical component of every business operations transformation.

Overview

A recommender system is a type of artificial intelligence (AI) algorithm, usually machine learning, that can predict user preferences and recommend additional products or services based on search history, demographic information, or user feedback. Collaborative filtering recommender systems are just one type of this technology. The collaborative filtering approach involves recommending items based on preferences from similar users. Content based recommender systems, on the other hand, recommend similar items based on the feature of previous items a user has interacted with. Whether using content filtering or collaborative filtering approaches, our solutions can help your organization provide more personalized experiences, streamline operations, and improve customer satisfaction. 

Experts in the field

Marcin Ludzia
QA & Test Automation Lead
Go to Expert Spotlight

Helping clients
drive digital change globally

Discover how our comprehensive services can transform your data into actionable business insights,
streamline operations, and drive sustainable growth. Stay ahead!

Explore our Services

See Technologies We Use

At the core of our approach is the use of market-leading technologies to build IT solutions that are cloud-ready, scalable, and efficient. See all
OpenAI
Azure Machine Learning
AWS SageMaker
Python Custom Framework

Latest Related Insights

Show more related

Let's talk about a solution

Our engineers, top specialists, and consultants will help you discover solutions tailored to your business. From simple support to complex digital transformation operations – we help you do more.