Based on our record, Metacritic should be more popular than Taste. It has been mentiond 18 times since March 2021. 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.
It's Thursday night. I'm considering going to see 'Five Nights at Freddies' but not if it has bad reviews. I go to metacritic.com and it's not in the first row. Not in any of the rows on this horrendous website design. What the actual fuck? Source: 6 months ago
Go to metacritic.com and search for highest rated for your platform. With a request that broad that's your best option. Source: 11 months ago
Go to metacritic.com look at the PS5 and Xbox lists of "best games" do a count of the top 20 for each system and see what system has more games you want to play. Source: about 1 year ago
Metacritic may be what you're looking for. Source: over 1 year ago
I think we should always question corporations and whether something is a fluff piece, but I find metacritic.com's critical review scores to be extremely realistic and helpful. Source: over 1 year 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
IMDb - Internet Movie Database
Letterboxd - Letterboxd is a social site for sharing your taste in film, now in public beta.
Simkl - Simkl is a TV, anime, and movie tracker that keeps a history of all the shows and movies you watch in one, central location. It’s a mobile app, a website, Google Chrome extension to keep track of everything you watch and integrates with many TV apps
MovieLens - MovieLens helps you find non-commercial, personalized movie recommendations.
IGDB - An open video game database
TasteDive - TasteDive recommends similar music (musicians, bands), movies, TV shows, books, authors and games, based on what you like.