Game Recommendation System (GRS)
by Ritic Raj Byanjankar, Ronil Maharjan, Raj Budha
Description
The Game Recommendation System (GRS) is a system that recommends the game similar to the user’s query or based on the games added to the user’s library. The exponential growth of the gaming industry has created a dilemma for gamers to choose games that suit their preference. GRS addresses this issue by using Porter Stemming Algorithm, TF-IDF vectorization and Cosine Similarity algorithm to recommend games, tailored based on the user-criteria such as game titles, descriptions and ratings.