Popularity is a useful metric for ranking (if A is more popular than B it is more likely I’ll like A better than B than if it is the other way around.) but combining it with a relevance score can be tricky. (e.g. it is not so straightforward to incorporate PageRank into a web search engine and really get better results.)
The interesting thing I see in Feedly is it seems to have a broad categorization: you might get some topic like “American Football”. I think users will certainly feel more in control if they can pick topics like that.
YOShInOn does ingest categories that are supplied by the feeds. I’ve also thought about adding a query language inspired by OWL (contains word X or word Y and is not a member of category Z) but now when I want to do a query I hand code it. If there is ever a “YOshInOn Enterprise Edition” it will have some system for maintaining multiple categorizations so it will be able to put labels like “American Football” on.
The interesting thing I see in Feedly is it seems to have a broad categorization: you might get some topic like “American Football”. I think users will certainly feel more in control if they can pick topics like that.
YOShInOn does ingest categories that are supplied by the feeds. I’ve also thought about adding a query language inspired by OWL (contains word X or word Y and is not a member of category Z) but now when I want to do a query I hand code it. If there is ever a “YOshInOn Enterprise Edition” it will have some system for maintaining multiple categorizations so it will be able to put labels like “American Football” on.