Our project entails the development of an automated system that delivers personalized research paper recommendations to users via email. The system utilizes the SMTP (Simple Mail Transfer Protocol) for seamless email communication. Additionally, we leverage web scraping techniques to fetch research papers from esteemed platforms such as IEEE and Springer websites. These papers will be carefully selected based on users' specific interests to ensure maximum relevance and value.
Key Components:
User Registration and Interest Capture: Participants will implement a user registration system where users can sign up and provide their areas of interest. This information will be used to personalize the recommendation emails.
SMTP Integration: The system will integrate SMTP functionality to establish a connection with the email server. Participants will configure the SMTP server settings, including server address, port, authentication credentials (username and password), and secure connection settings.
Web Scraping: Participants will develop web scraping modules to extract research papers from websites such as IEEE and Springer. They will identify the relevant HTML elements, apply parsing techniques (using libraries like BeautifulSoup), and retrieve key information such as paper titles, authors, abstracts, and download links.
Recommendation Engine: Participants will design and implement a recommendation engine that matches users' interests with the fetched research papers. This engine will utilize algorithms or rules to determine the relevance of papers to each user's preferences.
Email Composition and Sending: Once the recommendation engine generates the list of relevant research papers for each user, participants will compose personalized emails with the paper details. The emails will include a brief introduction, paper titles, authors, abstracts, and links for downloading or accessing the papers.
Email Scheduling and Delivery: Participants will implement a scheduling mechanism to send the recommendation emails at specific intervals, such as daily, weekly, or based on user preferences. They will ensure the delivery of emails to the respective users' email addresses using the configured SMTP server.
User Interface (Optional): As an optional component, participants may develop a user interface that allows users to manage their interests, view past recommendations, and customize email preferences.
Error Handling and Logging: Participants will implement error handling mechanisms to gracefully handle any exceptions or errors that may occur during the process. Additionally, logging functionality should be implemented to record important events and aid in system monitoring and troubleshooting.
Overall, this project combines the functionalities of SMTP integration, web scraping, recommendation engines, and email composition to create a comprehensive automated system for delivering tailored research paper recommendations. It promises to enhance users' access to relevant research, keeping them informed about the latest advancements in their fields of interest.
Built With
- beau
- css
- html
- javascript
- python
- requests
- server
Log in or sign up for Devpost to join the conversation.