whatoplay is a video game discovery platform. It provides personalized and timely game recommendations.
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Taste might be a bit more popular than whatoplay. We know about 4 links to it since March 2021 and only 4 links to whatoplay. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
On whatoplay.com, each game has a playscore which is an average based on all reviews on the net such as critic reviews from IGN, gamer reviews from Steam, and reviews directly written on the site. Source: about 1 year ago
Can I add your review to whatoplay.com ? I'll credit you appropriately, (PS, that no dmg run is insane). Source: about 1 year ago
Use whatoplay.com you can filter by year. Source: almost 3 years ago
You could also try whatoplay.com - they take at least 3 critic reviews and the average over user ratings from steam, gog.com etc. And then generate an aggregate rating from that. However, niche games will suffer from that (but these could still be great games). Source: about 3 years ago
Try taste.io, you cannot find users, but it will suggest you movies that people with similar tastes liked. Source: almost 2 years ago
On a social website (taste.io) I read a comment complaining about ‘bi- and homophobia sprinkled throughout [Elementary]’. The site doesn’t allow to react to comments so I couldn’t ask the person, but their comment got me thinking and I would like to hear people’s opinion: Do you think the show has some problematic moments in regards to lgbt+ representation and if yes, can you provide concrete examples? Source: about 2 years ago
It's John from taste.io, I think it depends on the method you want to use and where you're able to retrieve data to train the model. With a short amount of time and limited resources, you won't have the luxury of creating a collaborative filtering model....content-filtering is possible if you can also be resourceful with APIs + build crawlers. But, the results might be mediocre...meaning, the recommendations... Source: over 2 years ago
I have been asked to build a recommender system for TV shows at large scale, meaning thousands of users across the entire libraries of services like Netflix, Hulu and Amazon Prime. Something like taste.io but completely focussed on TV shows and not movies. My main concern is the complexity of this project, I have read up on recommender systems, and they seem fairly straightforward, its the scale that scares me. Source: over 2 years ago
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