The Power of Recommendation Systems

Hello data science enthusiasts, in this article, I will be discussing Recommendation Systems. As a data scientist, I will explain the solutions to some of the numerous challenges that one might encounter when starting a career in this field. Similar to my previous articles, I will be discussing the topic on Medium and delving into more detailed coding on Kaggle, providing explanations for the code as we proceed.

Recommendation Systems

There is an abundance of content in today’s world, and users tend to be interested in a smaller subset of this content. Therefore, it is essential to filter the abundant content based on users’ interests. In short, Recommendation Systems are the systems that recommend products or services to users by employing various techniques.

Simple Recommender Systems

These are general recommendations made using business knowledge or simple techniques. They involve recommending the highest-rated items, trending ones, classics, and so forth within a category. This type of system is implemented without any complex algorithms, relying solely on business knowledge.

Association Rule Learning

These are product recommendations based on rules learned through association analysis, commonly known as…