ProbQA
The program helps the user to find the next game to play by asking questions and listing top games that approximately match the previous answers. This way the user can find a game even if he/she doesn't know the keywords to search for.
Cost / License
- Free
- Open Source
Platforms
- Online
Features
- User Rating
- Personalized Recommendations
- Interactive Visualization
- Product Recommendation
ProbQA News & Activities
Recent activities
ProbQA information
Developed by
Serge RogatchLicensing
Open Source (AGPL-3.0) and Free product.Written in
Alternatives
7 alternatives listedSupported Languages
- English
AlternativeTo Category
Business & CommerceGitHub repository
- 73 Stars
- 8 Forks
- 0 Open Issues
- Updated
What is ProbQA?
It is sometimes difficult to find a game that you would like to play. Especially if you don’t have a clear view on what it could be — in fact, if you don’t know the keywords, then you can’t search for it in Google. Or you don’t necessarily want to play something similar to games you’ve already played. So you can’t use engines that search basing on similarity.
In this case you can use an interactive recommendation engine for games called ProbQA. There to find a game all you need is to answer question that the program asks. In each step you have multiple choices, as well as top games according to the questions that you have already answered. The more questions you answer, the more precise recommendation you get. Please, don’t stop on just top 1 game, even if it gets overwhelming probability assigned. The system is still learning, so your favorite game may be in top 10 still.
Comments and Reviews
A friend of mine recommended me trying this engine, so this is what I think. Absolutely great service in case you have no idea what game you would like to play. The more questions you answer the more precise recommendation you will get. I personally did my best to answer all of them and was happy with the result, and believe me, I am a picky "customer" 😁 Looks like something completely different and fresh comparing to existing recommendation services. Look, it's new, not that many games are inside yet, but from what I see it develops quickly and anyone could contribute if he\she wants. I guess this is a new word in game world.