Stack Overflow Helper

• Online URL: https://share.streamlit.io/cmu-ids-2020/fp-zhihu/main or http://149.248.51.150/ids-final
• Team members:
  • Contact person: Yeju Zhou [email protected]
  • Jiayi Weng [email protected]
  • Xuanyi Li [email protected]
  • Xinyue Chen [email protected]
• Track: Interactive Visualization/Application
• Report
• Video

Abstract

As the biggest online question-answer site for programmers in the world, Stack Overflow has a large impact on the developer community. However, through their public dataset, we discovered a continued decline in community activity and question-response rates. We propose our Stack Overflow helper with interactive visualization design by adding the recommendation system for tag-user and user-user recommendations to reduce the answer time, increase the answer rate, and facilitate interaction between users. Our tool fills in the gaps in the existing functionality of the Stack Overflow website. It is developed by Streamlit and currently available online.

Work distribution

Yeju Zhou: Narrative, video

Xinyue Chen: Recommend system

Jiayi Weng: Webpage design (User-User), deployment

Xuanyi Li: Webpage design (Tag-User) and refine

Deliverables

Proposal

• The URL at the top of this readme needs to point to your application online. It should also list the names of the team members.
• A completed proposal. The contact should submit it as a PDF on Canvas.

Design review

• Develop a prototype of your project.
• Create a 5 minute video to demonstrate your project and lists any question you have for the course staff. The contact should submit the video on Canvas.

Final deliverables

• All code for the project should be in the repo.
• A 5 minute video demonstration.
• Update Readme according to Canvas instructions.
• A detailed project report. The contact should submit the video and report as a PDF on Canvas.