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.
- 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