
Taste
Letterboxd
TasteDive
IMDb
Trakt.tv
Criticker
Simkl
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My programming assignment, in general, is good, I got 81 out of 100, and I was planning to get more, but it is still I still want to work with your team, and looking forward to receiving good work from a great team. I received some notes about the PPT that it was very basic, but overall, I would really thank you for the quick response and actions from your side in a perfect timeline :)
Based on our record, Taste seems to be more popular. It has been mentiond 4 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.
Try taste.io, you cannot find users, but it will suggest you movies that people with similar tastes liked. Source: about 4 years ago
On a social website (taste.io) I read a comment complaining about โbi- and homophobia sprinkled throughout [Elementary]โ. The site doesnโt allow to react to comments so I couldnโt ask the person, but their comment got me thinking and I would like to hear peopleโs opinion: Do you think the show has some problematic moments in regards to lgbt+ representation and if yes, can you provide concrete examples? Source: over 4 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: almost 5 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: almost 5 years ago
Letterboxd - Letterboxd is a social site for sharing your taste in film, now in public beta.
TasteDive - TasteDive recommends similar music (musicians, bands), movies, TV shows, books, authors and games, based on what you like.
IMDb - Internet Movie Database
Trakt.tv - Automatically track TV shows & movies you're watching.
Criticker - The independent movie, TV and board game recommendation engine and community.
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. Itโs a mobile app, a website, Google Chrome extension to keep track of everything you watch and integrates with many TV apps