Ebook
WHAT'S NEXT: PERSONALIZATION

How Personalized Recommender Systems Boost Customer Engagement

A Guide To Personalization Techniques & Recommender Systems: Challenges, Benefits, and Best Practices

Published
Mar 01, 2023
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Rise of Personalization- Role of Recommendation Systems and Machine Learning

Digital advancements have created a huge ocean of content for end-users. Consumers are always bombarded with multiple choices – leaving them perplexed. So, how can your business stand out from the competition?

The answer is simple – A Personalized Recommender System.

As the name implies, it is a system that recommends content or products or any services based on users’ past behaviors, interests, and purchases. The system derives its intelligence from advanced AI and Machine Learning.

In this eBook, you will find the core concepts of an ML-based recommendation system along with its benefits, challenges, and best practices involved while integrating one into a digital platform.

What’s Inside

  • Approaches of ML-based Recommendation System
  • Challenges of personalized recommendation Systems
  • Top 6 personalization benefits you get with recommender systems
  • Best practices for Ecommerce-focused personalized recommender systems

Authors

  • Written By
    Ketan Sethi, Engagement Manager

    Ketan is a distinguished Martech and Sitecore thought leader. His expertise is not just acknowledged; it's celebrated. Sitecore has bestowed upon him the esteemed title of Sitecore MVP, solidifying his status as a true pioneer in the realms of marketing technology and Sitecore innovation. He holds over a decade of experience helping organizations across many industries drive growth through digital experiences.

    Connect with Ketan on LinkedIn

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