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To reproduce the results, use data downloaded between June 19 and June 23 (found in my initial commit to Github), with alpha ~ 10^(6.45), which arises from an optimization with 1 example of "hidden gem": The Python source code can be found on Github. Finally, here is a reference to the NeoGAF post explaining the method, and the NeoGAF post explaining the idea behind the optimization of the only free parameter. We see quite a few slots being released for the Asian market, and Lucky Dragon is. It’s a classic title, with 3 reels, which joins a crowded category and delivers a theme which is far rarer than the typical fruit look. The quality measure comes from SteamDB and the popularity measure comes from SteamSpy API. The Chinese market is getting one more slot machine, a game from iSoftBet which is called Lucky Dragon. Therefore, the score of a game is defined as the product of a quality measure (its Wilson score) and a decreasing function of a popularity measure (its players total forever). A "hidden gem" is defined as a high-quality game (hence the "gem") which only got little attention (hence "hidden"). This post contains a ranking of Steam games, based on a score intended to favor "hidden gems".
