NextSteamGame: Smart Game Recommendations in Steam via Semantic Analysis

NextSteamGame Recommendation System Based on Semantic Analysis of Steam Games The NextSteamGame project is an innovative solution for personalizing the gaming experience, offering a recommendation system based not only on traditional user preference intersection but also on in-depth analysis of the semantic identity of the games themselves. This approach allows for more accurate identification of title characteristics and provides users with relevant options that truly match their interests. Key platform capabilities include comprehensive collection and enrichment of game metadata, forming a reliable foundation for further analysis. Special attention is given to processing user reviews using modern artificial intelligence technologies. Based on this data, the system generates semantic tags and vectors, ensuring high-precision determination of each product's characteristics. A key feature is providing users with full control over which aspects of a game are most important to them. This guarantees not only personalization but also explainability of recommendations, allowing players to understand the logic behind suggested titles. The developed system is written in the Python programming language, making it accessible for integration and further development by the community.