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
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about 1 year 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…

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over 1 year ago

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

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over 1 year ago

Have you heard of movielens? They’re doing something similar.

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over 1 year ago

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

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over 1 year ago

Anyway, just try out other sites. You can export and import your voting history in them. So it’s not difficult to move. There are also even more sites which focus more on other stuff again. https://movielens.org/ for example tries to give you suggestions based on a data driven approach. I know the others do that too but it focuses on that aspect.

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over 1 year ago

Is it a classical recommendation method? What’s the underlying algorithm? A veteran for movie recommendations: https://movielens.org/.

– Source: Hacker News
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over 1 year ago

This sounds a bit like https://movielens.org/.

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over 1 year ago

MovieLens https://movielens.org/ might fit the bill.

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over 1 year ago

If you are looking for movie recommendations, nothing beats movielense https://movielens.org.

– Source: Hacker News
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over 1 year ago

In this tutorial, we will be using the MovieLens dataset which is a popular dataset used for recommendation research. We will be using the MovieLens 25M Dataset under the Recommended for new research section. This contains 25 million ratings and one million tag applications applied to 62,000 movies by 162,000 users. The scripts and code referenced in this tutorial can be found in my github repository.

– Source: dev.to
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about 2 years ago

OK. I researched this for you. The purest expression of this type of engine currently seems to be https://movielens.org/ Good luck!

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about 2 years ago

One of the movie rating sites I use (MovieLens) allows you to display this. Once you’ve rated all your films (I have about 2500 in there), you can tell it to show films where your rating deviates most from the consensus of all other users (be they higher or lower than average.).

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about 2 years ago

Https://movielens.org/ is the best one I’ve used so far. I find it almost creepy how good it predicts how I’ll rate a movie.

– Source: Hacker News
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over 2 years ago

You should sign up for MovieLens and rate movies to get personalized recommendations. It’s from a computer science lab at the University of Minnesota, so there’s no ads or cost.

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over 2 years ago

Https://movielens.org/ has been my goto.

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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
/
almost 3 years ago

To those interested in movie recommendation engines, I’ve been using movielens (https://movielens.org/) for years and it’s great. You rate movies you’ve seen and it predicts which other movies you’ll like. The execution is really good: for example, it’s aware of popularity, so you can look at movies that others are likely to rate low, but you high, or the opposite.

– Source: Hacker News
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almost 3 years ago

Thanks for the question! For all I know, there only exist two other AI movie recommendation sites https://movix.ai and movielens. movix.ai does not seem to work anymore – you never get your recommendations, and with movielens you have to create a user, add 10 movies, and wait more than a day to get your recommendations. Cinemate will give you recommendations in a matter of seconds. There are also other…

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over 3 years ago