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A comment on Diving into BoardGameGeek. Parent comment

Re:Diving into BoardGameGeek by sWW26 on Monday January 24, 2022 @12:19PM (#30060706)
I built a recommendation engine[0] using the BoardGameGeek data with the methods described in Significance[1].

I've also extended it[2] relatively recently to have a tweakable ranking system which my father explains here[3]

[0] https://trythesegames.com/ [1] https://rss.onlinelibrary.wiley.com/doi/10.1111/j.1740-9713.... [2] https://trythesegames.com/rankings [3] https://boardgamegeek.com/thread/2728398/flexible-boardgame-...

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Re:Diving into BoardGameGeek by asgardian28 on Tuesday January 25, 2022 @02:13PM (#30076542)
Really nice! As an extension to the article, I'm also making a recommender, but just colab filtering. But yours looks stellar! And the article is great, compliments!

Need some time to let the like score calculation sink in :-) I'm going to experiment with the (rating * 2) / 100, seems like a great way to account for the nonlinearity. Btw don't you divide by 10 instead of 100?

Another suggestion was to take transform the ratings of each user to percentiles, as a measure of how favorite the game is to the user, also seems interesting.

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