| That's a great point! LinkLonk has "collections" for this (similar to "boards" on Pinterest). When you upvote something you put that item into a collection. Every user starts with the "default" collection. But you can create new ones for each of you distinct areas of interest. For example, you may want to create a collection called "music" and put music links there. When someone upvotes a link that you also upvoted in "music" then they will only connect to your "music" collection, and not your other collections. LinkLonk tracks the trust at the level of collection-to-collection (not user-to-user). Personally, I put all general interest stuff into the "default" collection, Machine Learning related links into "ML", movies into "movies". So far I described how organizing what you liked into collections helps others (ie, they get more focused recommendations from you). Why would you want to do this organization in the first place? There are a couple of reasons: - When you go to the history of your ratings (https://linklonk.com/ratings) you can filter it by the collection you put it into. This helps you find the article you liked. It is kind of a bookmarking service this way. - Normally, the recommendations you see are for all of your collections. But you can filter your recommendations to see only items for a specific collection (e.g., music). Finally, it is not much effort to keep your likes organized once you get started. LinkLonk knows which collection every recommendation is closest to and when you upvote something it will most likely be added to the right collection automatically. For example, if I liked a blog post about an ML topic and put it into "ML", then the future posts from that blog will go to "ML". |