Recevent: NLP based Event Recommender System

Abstract

Due to the constantly rising number of physical events that occur in an individual's surroundings today, there is a need for a system that recommends relevant events to the individual based on user location, interests and history, making the individual's choices easier. Hence, this research study intends to provide a solution to this problem of the Event-selection dilemma by creating an application capable of suggesting events on the same aspects. The system makes use of a Hybrid Recommendation Algorithm - combining the advantages of NLP technology and Content-based Filtering algorithms. The system also uses automated web scraping techniques for mass aggregation of events from verified sources and related data like venue, genre, price and description. This research study reviews various NLP, Deep Learning, Mathematical algorithms and techniques to understand recent advancements in the field of recommendation frameworks and proposes Recevent: An event-recommending web application.