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im a new user and i hope im doing this right. i just want to seek for advice and guidance about recommendation engine. im thinking on doing a little bit of research for my project on recommendation engine like youtube, that recommends videos based on videos that we have watched previously. im thinking of making a simple program to show how recommendation engine works and to understand more about this stuff. is it possible and if i may know how? tutorials or sample projects will be much appreciated. thank you in advance.
Posted 15-Mar-13 11:00am
Sergey Alexandrovich Kryukov 15-Mar-13 16:31pm
This is too narrow topic but extensive subject and a very vague request. It's hardly possible to give you any help in the forum format.
We don't have resources for tutoring. A tutorial on such a narrow topic is also unlikely, as you rather need to learn more general principles and techniques.
If you ask some specific questions, we will gladly answer.

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Solution 1

I did something like this last year. Have a look at the M-Tree[^] as the heart of your engine. You can make a dictionary of keywords in the tree, and a search for the 'n' items closest to a particular keyword can be found with a simple query.

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