Taste VS FilmAffinity

Taste

Get movie suggestions based on personal taste.

FilmAffinity

FilmAffinity is a portal specialized in personalized movie recommendation.

Landing page //
2023-05-08

Landing page //
2023-04-30

2018 MRE Pepperoni Pizza MRE Review Meal Ready to Eat Ration Taste Testing

FilmAffinity videos

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Las 7 PEORES PELÍCULAS de TERROR (según Filmaffinity)😱 || TOP

Category Popularity

0-100% (relative to Taste and FilmAffinity)

FilmAffinity

Movies

77 77%

Movies

23% 23

Movie Reviews

69 69%

Movie Reviews

31% 31

Movie Ratings

63 63%

Movie Ratings

37% 37

iPhone

100 100%

iPhone

0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Taste and FilmAffinity

Taste Reviews

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FilmAffinity Reviews

Best Sites For Rating Movies: 6 Top Movie Review Websites

It’s known for its user-friendly interface and comprehensive database. FilmAffinity allows users to rate movies and provides recommendations based on individual preferences. This feature sets it apart, as it tailors suggestions to match the user’s cinematic tastes.

Source: filmlifestyle.com

Social recommendations and mentions

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.

Taste mentions (4)

Letterboxd Dating App
Try taste.io, you cannot find users, but it will suggest you movies that people with similar tastes liked. Source: almost 2 years ago
In-show bi- and homophobia?
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
How difficult would it be to build a recommender system for TV shows at scale?
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
How difficult would it be to build a recommender system for TV shows at scale?
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