By recommendation engine, I mean a web app where you tell it your favourite things, and it recommends other things that you might like, based on a corpus of data.

Apparently Netflix does this for movies (I don't know, I live outside the US).

I've used these in the past for:

  • movies
  • books
  • games
  • music
  • etc

...but it looks like they've all since disappeared (kindakarma, wikilens, a few others I think).

Can you save me (and future generations arriving here by google!) some hours of searching and recommend any good recommendation engine web apps?

Particularly looking for video games, but any will do.

  • 1
    Amazon is not directly a recommendation engine, but it works quite well if you just tell it what you like (and it should work for everything you listed). – mbillard Jan 25 '11 at 21:34

You might give Hunch a try. It asks you questions about what you like and gives you recommendations. Backed by fancy-schmancy machine learning algos and web-2.0-tastic team (like Caterina Fake, co-founder of Flickr), it may be an interesting option.

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  • This was kind of fun, and seemed to have a lot of categories. – MGOwen Oct 28 '10 at 4:19

I have had the same query not too long ago...

I came up with:

Secondly if you are looking for game recommendations/similar games based on your input of favorites, here are some great sites:

For more raw data/recommendation engine kind of information:

  • abetteropinion had a clunky interface and some questionable recommendations. – MGOwen Nov 3 '10 at 0:46

Colleagues from mine recently launched a new service called tagmantic, which as its core supports a tag2tag and tag2uri recommendation engine, if you want to give it a try (it is still in beta stage) at:

For initial population, you can upload your local or delicious bookmark collection, and might want to give the bookmarklet a try in your daily usage.

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Based on your listening charts (the bigger the better), last.fm can come up with interesting albums/concerts recommendations

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Take a look at GetGlue. It has some nice browser integration and is available in a lot of platforms. As far as I know it serves as a recommendation engine for everything you mentioned, and is reported to be growing a lot, which should mean that the quality of the recommendations should be high.

EDIT: I just stumbled upon this blog post with quite a big list of recommendation engine apps, organized by type.

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