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Taste might be a bit more popular than Gnoosic. We know about 4 links to it since March 2021 and only 3 links to Gnoosic. 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.
I'd recommend visiting gnoosic.com and adding Joji/The 1975 etc. Into the algorithm to generate similar artist recommendations. Alternatively, you could probably type generic keywords into Spotify like 'young love' or 'the one that got away' and find some relevant playlists there. Source: about 1 year ago
After LRD's songs were removed from Spotify I really had nothing that sounded like them to listen to except the recent version of White Awakening. About a week ago I discovered a website called gnoosic that recommends music based on a few bands you like. I put in LRD and it recommended Suishou no Fune so I checked them out. They sound so much like LRD and I finally found some LRD-esque music to listen to. If you... Source: about 2 years ago
My whole life changed when I found this website. 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: over 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
Music-Map - The Music-Map is the Tourist Map of Music, part of Gnod, the Global Network of Discovery.
Letterboxd - Letterboxd is a social site for sharing your taste in film, now in public beta.
BandNext - Discover bands that sound similar to artists you already love with BandNext. A single click saves your results to a Youtube playlist.
IMDb - Internet Movie Database
TasteDive - TasteDive recommends similar music (musicians, bands), movies, TV shows, books, authors and games, based on what you like.
And Chill - andchill is a new way of enjoying movies and videos with your friends.