Copyright (C) 2018 Vangelis Tsiatouras & Nick Sofras
This project is school assignment and NO ONE has the right to use its code for commercial use. Also, this project has been implemented for academic reasons and the only right that is permitted is only to test and observe its functionality. We are not responsible for potential problems that maybe exist.
This is a single page web application that implements a social media service similar to LinkedIn. This project is an assignment for the course "Web Technologies" of the dept. Informatics & Telecommunications of the National Kapodistrian University of Athens.
To build & run this application make sure that you have installed Java 8 & MySQL Server. Also you must edit your hosts file by adding the following:
127.0.0.1 linkdin.dyndns.org
You can build the package as a single artifact by running the ./mvnw clean install.
Next, you can run the application by executing:
$ java -jar backend/target/linkdin-app.jarThe application will be accessible at https://linkdin.dyndns.org:8080.
Also make sure that the files cert.pem, key.pem & keystore.p12 are in the same directory with the linkdin-app.jar.
There are multiple ways to run the backend. For development, you can use your favorite IDE and run the
com.linkdin.app.Application. As soon as your code compiles, Spring Boot DevTools will reload the code.
Make sure to install yarn on your development machine.
To install all the required binaries for your project, you can run following command.
$ cd frontend
$ ../mvnw frontend:install-node-and-yarn frontend:yarn
Once the above command finishes, you can start the frontend using the yarn start command.
Both the front-end and back-end modules support hot reloading.
To set up the database of this web application is pretty straight forward. All you have to do is simply to execute the script create_db.sql in the directory database. Also we have created a script to initiliaze the database with records that are stored in .csv files. To do that just run the script import_records.sql with the only resrtiction that all the .csv files must be stored in a directory with name db_backup which must be in the same path with the script.
- Spring MVC/Spring Boot: With this framework we implemented a RESTful API that handles all the requests of the application.
- Spring JPA/Hibernate: These frameworks are responsible for the I/O with the database.
- MySQL: The RDBMS of this web application is MySQL.
- TypeScript/Angular 5: We have implemented the user interface in Angular, split in components (i.e. navbar.component, post.component etc.).
- Bootstrap 4: The user interface is styled with the help of Bootstrap framework. Also responsive view is supported.
- HTML 5/CSS: (nothing to say here...)
The post recommendation service executes an algorithm that is based in k-NN classification. More specific, the algorithm fetches the 3 most recent public posts per user based on similar user activity(interests & comments).
Each user's job advert page contains job adverts that are based on the personal information of the user. After the stopwords have been filtered out, the algorithm selects the ads that have the most similar content with the user's info.
We used a cerificate that is signed from Let's Encrypt in order to encrypt all the traffic between the clients and the server.
Even though it was not in the assignment description, we have added a special feature in posts. All posts can be either public or private. With the attribute 'public' the post can be visible from everyone. On the contrary, with the attribute 'private' the post is visible only within the network of the user.
The administrators can see everyone's activity, even if it's private. Also they have the option to export to XML file all the users' information and activity.