I'm working a daily news briefing service.

Right now, I'm tryingt to find a good article summarizing algorithm to use in it.

Basically, my concept is this:

- Compile a list of relevant topics that are trending in various news sites (by scanning various social networks looking for news links and determining what's generating the most discussion) and then whittle that list down to about 5 items.

- Try to find the best/most trustworthy news articles on each topic for the day, using a scoring system for news sources and also basing it on the article's length and amount of detail

- Summarize the best article for each topic into less than ~500 words

- Put links in each article summary for Wikipedia pages - so if an article mentions the G7 summit, have a link to the G7 (organization) wikipedia page and a link to the G7 Summit wikipedia page embedded in the article - so the reader can get more details/info if they don't know about something being discussed in the article

- Post the summarized articles on a public web page every day as "The Daily News Briefing"

Additionally, I'll make a companion app for Android that gets the Daily News Briefing every day, downloads it, and notifies the user when the briefing is ready to read.

Basically, I'm making an automated alternative to Google News that briefs the user on what's going on in the world, and gives source links and wikipedia links for further reading.

I'm already learning a lot about making an alogorithm to try and determine what's relevant news, as well as a lot about how a bot like the "Summry.io" bot summarizes news articles. I may never finish this project, but the learning I'm doing along the way is what I like the most.