Item — HN Reader

I would say this isn't machine learning, but relevance in general is an interesting topic to apply supervised learning. Of course the training data is the hard part,

An article on the topic, https://opensourceconnections.com/blog/2017/08/03/search-as-... (disclaimer I wrote it...)

1 comments

I also work on this field so I do have an idea of what's possible if you apply machine learning techniques to improve relevance rankings.

But to my intuition, basic search doesn't feel like a machine learning task. After reading some of the responses to my post however I'm trying to come up with a meaningful reason why I wouldn't consider IDF to be machine learning, given that it is updated as more documents enter the corpus and your system "learns" to re-rank existing result sets based on these new documents.