2 min readfrom Machine Learning

Dev Log on Steam Recommender[P]

Dev Log on Steam Recommender[P]
Dev Log on Steam Recommender[P]

Since the steam sale is live I wanted to post a Dev log on my personal project
https://nextsteamgame.com/ sharing some outcomes from the web traffic and how I changed the project from the great feedback I got!

I made a post about a month ago explaining how I made this opensource explainable search engine built around steam reviews to people find new video games, Not through Relevancy but through aspect based similarity.

Check out the old post for a better explanation if you want!
https://www.reddit.com/r/MachineLearning/comments/1tb8k3n/steam_recommender_using_similarity_undergraduate/

I wanted to say thank you to all the people of r/datascience and r/MachineLearning that gave me feedback and tried out my tool!

I improved the UI/UX of the website to make the vectors more clear and controllable, I Implemented a thumbs up and down feature on recommendations to see if users even like the tool.

I also wanted to share the after effects of promoting this tool on reddit!

from the 2,652 searches I got in the website 913 of them resulted in steam clicks! the games that were discovered were all in a uniform distribution and did not share much of a pattern showing me that the engine did its job in helping people find niche games across all genres!

(More images attached to post to see data viz)

I wanted to disclose that I made this tool to not make any profit of some kind, but it does use posthog so I can collect diagnostics now.

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