如何制作推荐引擎 [英] how to make a recommendation engine

问题描述

我是一个新用户，我希望我这样做。我只是想寻求有关推荐引擎的建议和指导。我正在考虑对像youtube这样的推荐引擎上的项目进行一些研究，它推荐基于我们之前观看过的视频的视频。我想制作一个简单的程序来展示推荐引擎是如何工作的，并且更多地了解这些东西。是否可能，如果我可能知道如何？教程或示例项目将不胜感激。提前谢谢你。

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.

推荐答案

去年我做过这样的事情。看一下 M-Tree [ ^ ]作为引擎的核心。您可以在树中创建关键字字典，并且可以使用简单查询找到最接近特定关键字的n项。

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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