3 ms·
Kudos for publishing your approach to recommendations! Relying on users to explicitly mark objects is not the best approach, though. Each user have their own m
by tie_ 12y ago
Kudos for publishing your approach to recommendations!
Relying on users to explicitly mark objects is not the best approach, though. Each user have their own mind about what the best marks/weights would be, hence the input would be inconsistent and the recommendation results would suffer. Not to mention that manual marking is tedious, and as you pointed out - it is hard to apply to old content.
I would suggest using a system that can extract the marks automatically. Couple of years ago I was involved in a project that had such a component (NeuralBrother's Neugs), but there are OS projects that provide similar functionality as well.
- ehurrell 12y agoI agree, although with enough users this subjective marking effect can be somewhat mitigated. I'll give an example: Steam allowed people to tag games recently, which lead to a lot of 'hardcore gamers' tagging games they didn't like because they had no explicit gameplay as 'Walking Simulator' (Gone Home, Dear Esther etc). This tag is meant as an insult, but for people who like games like this it is actually useful, it's a grouping of games that are interesting to similar people, which is the knowledge Valve presumably wanted to gather. I would suggest a mix of automated and manual tagging, use both, show the automated or curate the text shown. It should be easy enough to cluster the tags too, one man's walking simulator is another's 'story game' or similar.