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Recommender Systems

AI-powered recommendation engines predicting future outcomes with Intellect^{2 ^TM}

Recommender Systems Services

AI-powered recommendation engines predicting future outcomes with Intellect^{2 ^TM}

Driving profound business impact with recommender systems

Our custom recommendation engines enable you to answer the what, when, where, how much, and to whom questions you face every day. Our AI-driven engines use machine learning and deep learning algorithms to provide meaningful analytics, enabling you to shape your products and services based on deep insights into your customer’s desires and needs. We help determine which recommendation system is best suited for you.

Our recommender can help your organization:

- Increase business revenue
- Personalize marketing campaigns
- Enhance customer service
- Develop precise analytics reports
- Personalize customer experience
- Improve customer retention

Let’s talk about your recommender systems project

What we do

We build models from a customer’s past behaviour, whether it be past purchases or indicated preference for a product or service. Intellect ² models predict customer preferences for products and services. Our expert team of developers produces hyper-personalized engines based on defined categories:

Collaborative filtering

These algorithms generate recommendations based on crowd-sourced inputs, where customers’ preferences define similarities. This filtering builds referenceable connections with every piece of content that users share.

Content-based filtering

Algorithms generate recommendations based on crowd-sourced inputs where customer preferences define similarities. Various models process multiple types of attribute data. This approach uses market research data where no user ratings are required.

Demographic-based recommender systems

Categorize users based on attributes and make recommendations based on a set of demographic classifications. This approach uses market research where no user ratings are required to obtain results.

Hybrid recommendation systems

The integration of models best suited for a particular industry. Hybrid models improve recommendations when faced with inadequate, incomplete, and infrequent datasets.

Integration process

Our team provides expertise at every stage of your project guiding you from conception through implementation of data solutions powered by data science and AI.

Consulting

Our experts work with you to analyze, evaluate, and refine strategies to expand your recommendation engines’ footprint and create data science and AI-enriched services that profit your business.

POC and MVP

We help you develop a hyper-focused innovative development and strategy roadmap enhancing your customer experiences and business outcomes.

Full-cycle development

We provide full-cycle end-to-end recommender system services by leveraging and enabling data technologies that seamlessly integrate into your current architecture and transform your business.

Why choose IntellectData^TM as your recommender systems partner?

Broad-spectrum of products and services employing leading edge technology, providing a strategic and competitive advantage
Industry-leading expertise developing and implementing digital products and software services incorporating data science, artificial intelligence, image and video analytics, text analytics, predictive analytics, recommendation engines, and visualization
Easily integrated with other mission-critical enterprise applications and platforms to solve any data-driven problem
Unmatched standards for quality, scalability, and performance create exceptional value, propelling organizations to the next level of insight and action
End-to-end services from consulting to full-cycle software development
Empower non-experts to use machine learning models and techniques void of a prerequisite for prior expertise in the field
Complete adherence to data and security regulations such as HIPAA, Data protection 2018, etc.