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Author SHA1 Message Date
himanshu jasaiwal
2204b4c508
Merge 948a1950ce into fb54d8b549 2023-05-22 17:38:12 -05:00
himanshu jasaiwal
948a1950ce Adding Summary in readme.md 2023-04-01 20:53:29 +00:00
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@ -62,6 +62,9 @@ The core components of Recommended Notifications included in this repository are
We include Bazel BUILD files for most components, but not a top-level BUILD or WORKSPACE file. We plan to add a more complete build and test system in the future. We include Bazel BUILD files for most components, but not a top-level BUILD or WORKSPACE file. We plan to add a more complete build and test system in the future.
# Summary
The Twitter Recommendation Algorithm is a system that recommends content to users by using different components like community detection, knowledge graph embeddings, and models for detecting abusive content. It also provides recommendations for accounts to follow and Tweets to see. The system ranks Tweets based on various signals, and filters content to ensure legal compliance and user trust. Overall, the algorithm uses advanced machine learning and data processing techniques to deliver personalized content to Twitter users.
## Contributing ## Contributing
We invite the community to submit GitHub issues and pull requests for suggestions on improving the recommendation algorithm. We are working on tools to manage these suggestions and sync changes to our internal repository. Any security concerns or issues should be routed to our official [bug bounty program](https://hackerone.com/twitter) through HackerOne. We hope to benefit from the collective intelligence and expertise of the global community in helping us identify issues and suggest improvements, ultimately leading to a better Twitter. We invite the community to submit GitHub issues and pull requests for suggestions on improving the recommendation algorithm. We are working on tools to manage these suggestions and sync changes to our internal repository. Any security concerns or issues should be routed to our official [bug bounty program](https://hackerone.com/twitter) through HackerOne. We hope to benefit from the collective intelligence and expertise of the global community in helping us identify issues and suggest improvements, ultimately leading to a better Twitter.