For Usenet, you could filter posts based on scoring of posts based using regexps on the various fields of a message—body, subject, sender, etc. See the following for some details:
I meant PageRank as just one example of Collaborative Filtering, where Amazon and NetFlix collaborative recommendations would be another, and probably more relevant. I think we could “like” someone on the email list, and their “likes” would count transitively to us, and the likes of those they like, etc.
For Usenet, you could filter posts based on scoring of posts based using regexps on the various fields of a message—body, subject, sender, etc. See the following for some details:
http://www.slrn.org/docs/slrn-FAQ-4.html
I meant PageRank as just one example of Collaborative Filtering, where Amazon and NetFlix collaborative recommendations would be another, and probably more relevant. I think we could “like” someone on the email list, and their “likes” would count transitively to us, and the likes of those they like, etc.