Popularity
We chose "popularity" because we couldn't find a better term when it comes to "those games that are currently being bought the most." As with books and movies, the search range for what people like is very wide. Someone is looking for the latest and most popular games, someone likes interesting, but not necessarily well-known games. We consider this tool useful for both. We found that for those users who play many games, diving into the "niche" part of our catalog can give really cool results.
Steam Recommendations
In order not to replace the entire Steam game search engine at once, we present this interactive Advisor as an experimental feature that you can try. This will help us collect better data and avoid any sudden shifts if users or developers become frustrated with the new system. If the ADVISOR proves to be a reliable system, we will share this before making any significant changes to the Steam recommendation system. The data from the "popular" and "new" sections differs from the data on the order of findings or the new Expert Advisor. We consider our new neural network as one of many ways to find a game or connect users and developers with interesting content.
Recommendations and new games
The new games in this recommendation system will be like in this question: "Which came first, chicken or egg?". This is called the "cold start" problem. The neural network can recommend games that no one has played yet, because it has no data about this game. But she learns fast, and in just a few days she can already share data about the game. We understand that the neural network will not be able to replace the discovery queue in this aspect, which shows new items, so it is rather an additional tool.
There is no need for optimization on the part of developers
Sometimes computer search forces developers to focus not on users, but on optimizing the "algorithm". You may ask what the difference is. Our advisor is designed with a focus on the actions of the players, rather than on external elements such as tags or reviews. The best way for a developer to optimize a game for a neural network is to make it so that people enjoy it. While providing users with useful information about the game on the store's page is very important, you don't need to spend a lot of resources identifying tags or other metadata for the Interactive Advisor.
Tell us what you think about it.
We would like to hear the opinions of both users and developers, so visit the interactive Advisor and join the discussions. When we have collected enough information about the benefits of the advisor, we will share our plans with you.
A note to developers
We have developed a new Expert Advisor to help users and, ideally, developers as well. On the Traffic Analysis page for each game, they will be able to see the number of visitors that the advisor brings them. But keep in mind that at first, the advisors will not bring many visitors relatively to other places on Steam. S’inscrire sur une plateforme de paris ne devrait jamais se faire à la hâte. Avant de cliquer sur “je m’inscris”, prenez le temps de consulter un
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