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Based on our record, BestSimilar 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.
P.S. You can also use sites like BestSimilar and TasteDive. Source: 12 months ago
I have been using this site. Not sure how accurate it always is. Source: about 1 year ago
I recommend googling lots of "best of" lists..like "best thrillers", "best movies of the 90s", etc. Also the site https://bestsimilar.com is really helpful cause you can enter any movie and it'll give you a list of similar ones. Source: about 1 year ago
P.S. You can also use sites like BestSimilar and TasteDive. Source: over 1 year ago
I have found sites like https://bestsimilar.com/ where you give a movie as input and get some movies like the one you plugged in. My problem is that I don't always know what I like to watch. Also, I found an AI that can recommend movies based on your letterbox watched films but I think it just recommends top movies. Source: almost 2 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: 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
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