Taste VS MovieLens

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

In this example, we will use the reduced MovieLens dataset streamed via Redpanda. Each JSON message will be structured like the one below:. - Source: dev.to / 10 months ago

Their rating & recommendation system is another top feature, in my opinion. The five-star rating system is superb. I think it was a major misstep when the streaming service switched over to the "thumbs up/down" system instead. Fortunately, the disc service retained the five-star system. I found the movie recommendation algorithm to be tremendously valuable. I don't think it would be too hard to build or even find... Source: 10 months ago

Https://movielens.org/ has an interesting concept and it has given me some recommendations that a traditional ratings site never would. Source: 11 months ago

Have you heard of movielens? They're doing something similar. Source: 12 months ago

Checkout movielens if you miss the old Netflix rating system. It uses the same 5 star system and algorithm. https://movielens.org/. Source: about 1 year ago