Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[RecSys`20] Deconstructing the Filter Bubble: User Decision-Making and Recommender Systems #4

Open
russellkim opened this issue Aug 27, 2020 · 0 comments

Comments

@russellkim
Copy link
Contributor

The main goal of reading paper is not just understanding it. Try to understand the key concept, but we need to get new ideas and research directions from the paper.

Paper information: title, authors, venue, pdf link, github, etc.

  • title: Deconstructing the Filter Bubble: User Decision-Making and Recommender Systems
  • authors: Guy Aridor, Duarte Goncalves, Shan Sikdar
  • venue: KDD`20
  • pdf link: https://arxiv.org/abs/1904.10527
  • github:
  • abstract:

Summary: problems to address, key ideas, quick results

Questions about the paper?

What do you like?

What you don't like?

How to improve?

Any new ideas?

Reproducing results (if any)

@russellkim russellkim changed the title [KDD`20] Deconstructing the Filter Bubble: User Decision-Making and Recommender Systems [RecSys`20] Deconstructing the Filter Bubble: User Decision-Making and Recommender Systems Sep 1, 2020
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

No branches or pull requests

1 participant