Recent content by sakamoto

@zetsuravez, kinda late reply, but yeah, in layman's term, Bayesian average: reduce extreme values from low number of votes (1 to certain selected number), e.g. a manga with 1 rating of 10 shouldn't sit above a manga with 100 ratings of 9. it basically bring the rating closer to global average...

OMG, thank you very much @Holo, really appreciate this feature. Will test it out and share feedback later on this. Quick edit 2: Noted that Bayesian average is only currently applied at select location, just read through page 2 of this thread, too excited to response earlier. Edit 3: Did a...

@DANDAN_THE_DANDAN, that's true, recommendation system is one of the big research area at big tech company such as Netflix, Apple, Amazon, Google etc. Some focus to do this via machine learning methodology by trying to predict your "demographic" or trend based on your reading list or other...

@pikokola , I updated my earlier proposal on what I believe to be one of the solution on this issue at https://mangadex.org/thread/22932 Appreciate your feedback on my approximation formula for this in that thread.

Hi, coming back to this since I finally had time to perform some readings on this issue. Found a few links that I think shows some good approximation method, summarized below: Full code at https://jsfiddle.net/sakamoto_lipur/hc2dufvx/4/ I believe you just need to calculate the average number...

Hi, I would like to propose an improved rating averaging system, by incorporating the number of rating into account. Why is this important? Consider a scenario of 2 manga, Case A: a 5 star rated manga (with only 1 rating) versus Case B: a 4.9 star rated manga (with 100 ratings). I would prefer...