Implementation programs to address information overload
In the face of the information explosion caused by subscribing to multiple news feeds, Feeds.Fun has been able to make a difference byAI auto-tagging + rule filteringDual mechanism for accurate screening:
- Automatic label generation
The system uses ChatGPT/Gemini to analyze news content and automatically add topic tags (e.g., "tech", "politics"). 1 300-word news item is usually tagged in less than 3 seconds. - Weighting Rules Setting
Use the syntax on the Rules page:"AI"标签+10分
"广告"标签-50分
The system will rank the news by total score - Three-stage filtration system
- Initial filter: discard news with score ≤ -30
- Secondary filtering: hide labels marked "no longer displayed" by users
- Ultimate hiding: read news automatically turns gray
advanced skill: In the self-hosted version, this can be done by modifying theconfig/tag_processors.yamlAdd customized tagging rules, such as automatically tagging news containing "Musk" with "Elon_Musk".
This answer comes from the articleFeeds.Fun: RSS feeds with automatic tagging and filtering of newsThe
May not be reproduced without permission:AI productivity tools " How to solve the problem of information overload when subscribing to a large number of news feeds?
