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Game Recommendation System

Overview

This Go program is designed to retrieve and analyze game data using the RAWG Video Games Database API, store the information in a MongoDB database, and provide game recommendations based on user preferences.

Features

  1. Data Retrieval from RAWG API:

    • The program fetches game data from the RAWG API using an API key for authentication.
    • The retrieved data includes information about games, such as name, genres, and rating.

  2. MongoDB Integration:

    • Game data is stored in a MongoDB database named "gamestore" within the "games" collection.

  3. User Preferences:

    • User preferences are represented by the UserChoices struct, including a username and a list of preferred game genres.

  4. User Comparison:

    • The program can compare the game preferences of two users (UserChoices) and identify games that match their combined preferences.

  5. Top Rated Games:

    • The program can identify the top 5 games from a given list based on their ratings.

  6. Web Scraping for Similar Games:

    • The program utilizes headless browser automation (Chromedp) to scrape a website (https://gameslikefinder.com/) for games similar to the top-rated games.

Setup

  1. Dependencies:

    • Ensure that you have Go installed on your machine.
    • Install the required Go packages using: 
      go get -u github.com/chromedp/cdproto/cdp
go get -u github.com/chromedp/chromedp
go get -u go.mongodb.org/mongo-driver/bson
go get -u go.mongodb.org/mongo-driver/mongo

  2. MongoDB:

    • Install and run MongoDB locally.
    • Update the MongoDB connection URI in the mongoConnection function if needed.

  3. API Key:

  4. Code Configuration:

    • Replace the placeholder API key (const apiKey = "YOUR_API_KEY") with your actual API key.

Usage

  1. Data Retrieval and Storage:

    • Uncomment the relevant code in the main function to retrieve game data from the RAWG API and store it in the MongoDB database.

  2. User Preferences and Recommendations:

    • Define user preferences using the UserChoices struct and call the equalGamesIn2Users and top5GamesRated functions to get game recommendations.

  3. Web Scraping for Similar Games:

    • Uncomment the relevant code in the main function to perform web scraping for similar games.

Notes

  • The program includes functions to filter games by genre list, retrieve games from MongoDB, and establish a MongoDB connection.
  • Adjustments may be needed based on changes in the RAWG API or the structure of the target website for web scraping.

Disclaimer

This code is provided as a sample and may require further customization based on specific use cases and requirements. Use it responsibly and in accordance with the terms of service of the APIs and websites involved.