Recommender System based on NLP

Recommender systems (RS) have evolved into a fundamental tool for helping users make informed decisions and choices, especially in the era of big data in which customers have to make choices from a large number of products and services. A lot of RS models and techniques have been proposed and most of them have achieved great success. Among them, the content-based RS and collaborative filtering RS are two representative ones. Their efficacy has been demonstrated by both research and industry communities.

We will be building a content-based recommender system based on a natural language processing approach, This approach is very useful when we are dealing with products that are featured by a description or a title (text data in general), like news, jobs, books etc ..