A recommendation system built using Java, Neo4j, graphs, and nodes is an application designed to provide recommendations for tourist destinations. Utilizing a database and front-end tools like HTML and CSS, the system allows users to filter tourist places based on categories, location, and other criteria. Additionally, technologies such as Apache and Oracle's VirtualBox were employed to support the system's functionality. One notable feature is the ability for users to make recommendations, thus enriching the database with up-to-date information about tourist destinations. This system offers an interactive and personalized experience, delivering tailored recommendations to users.
Files • Features • How To Use
- src: the file that implements de solution.
The main features of the application include:
- Recommendation Engine: Implement a robust recommendation algorithm that takes into account user preferences, past behavior, and feedback to suggest relevant tourist destinations.
- Filtering and Sorting: Enable users to filter and sort recommendations based on various criteria such as location, category, popularity, ratings, and user reviews.
- User Feedback and Ratings: Allow users to provide feedback and ratings for visited places, influencing the recommendations for other users and improving the accuracy of the system over time.
- Search Functionality: Implement a search feature that allows users to search for specific tourist destinations or explore options based on keywords and tags.
To clone and run this application, you'll need Git, Oracle VM Virtual Box, Java and Neo4j installed on your computer. From your command line:
...
# Clone this repository
$ git clone https://github.com/bl33h/inPlaceDotMerge
# Set up the database in Neo4j
$ cd src/InPaceDotMerge.cyp
# Run the app like a normal java project