Taste
Letterboxd
IMDb
MovieLens
And Chill
TasteDive
Simkl
Criticker
Titlefindr
BestSimilar
What Should I Read Next?
TasteDive
Movieo
Movie-Map
FilmTagger
Letterboxd
Titlefindr recommends Books, Movies, TV shows, and cross-media recommendations. So for a given book you will in addition to other book recommendations also get movie and TV show recommendations for that book.
Titlefindr also has multi-title recommendations. This lets you pick multiple titles and get recommendations combined for all of them.
The main focus of the site is to give you recommendations, but it also has a user library and user list feature.
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Titlefindr's answer:
One of the unique features is the cross-media recommendations and the multi-title recommendations. But the recommendations for the same type of media are also a core part of titlefindr.
Titlefindr's answer:
People that are interested in movies, TV series, and books. People who want to find more titles similar to other titles that like. People who want to find similar titles across different mediums, like books similar to a given movie.
Titlefindr's answer:
Django, Postgres, Redis, HTMX, Aline.js
Titlefindr's answer:
It is zero cost and close to zero effort to try it, so just check it out and decide for yourself.
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: 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
Letterboxd - Letterboxd is a social site for sharing your taste in film, now in public beta.
BestSimilar - Our service will help to find many more movies similar to your favorite ones. All lists are updated regularly, so you will always be aware of new and the best movies tailored to your tastes.
IMDb - Internet Movie Database
What Should I Read Next? - Book recommendations
MovieLens - MovieLens helps you find non-commercial, personalized movie recommendations.
TasteDive - TasteDive recommends similar music (musicians, bands), movies, TV shows, books, authors and games, based on what you like.