查找具有评分值的用户最喜欢的项目
假设用户以 1 到 5 的等级对一些电影进行投票。这些电影具有流派信息，并且一部电影可以有多个流派。像这样：
Movie A Rating 4
Action/Sci-Fi
Movie B Rating 5
Comedy/Action
Movie C Rating 4
Comedy/Drama
我们想了解用户喜欢哪种类型。这里我们有我们的结果集：
Genre Movie_Count Average_Rating
----------
Action 2 5
Comedy 2 4.5
SciFi 1 4
Drama 1 4
显然，我们无法用如此小的结果集来预测任何事情，但让我们假设我们有一个更大的数据集。
使用这些数据，我们如何对该用户最喜欢的类型进行排序？简单地计算加权平均值还是更复杂的东西？
Let's assume that a user votes for some movies in a scale of 1 to 5. These movies has genre info, and a movie can have more than one genre. Like this:
Movie A Rating 4
Action/Sci-Fi
Movie B Rating 5
Comedy/Action
Movie C Rating 4
Comedy/Drama
We want to learn which genre likes our user. Here we have our result set:
Genre Movie_Count Average_Rating
----------
Action 2 5
Comedy 2 4.5
SciFi 1 4
Drama 1 4
Obviously, we cannot predict anything with such a small resultset, but let us assume that we've a larger dataset.
Using this data, how can we sort most liked genres of this user? Simply calculating weighted average or something more complex?
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评论（1）
我在这里看到的主要问题是：
用户评价 1000 部喜剧电影，平均得分为 4
用户评价 10 部动作电影，平均得分为 4.1
您如何排序？
请参阅http://www.evanmiller.org/how- not-to-sort-by-average- rating.html 用于讨论和一种可能的解决方案。
另一个问题是：
如果一部电影既是喜剧又是动作，并且评分为 4.0，那么它是喜剧还是动作的评分是多少？
您可以使用期望最大化来解决此问题 http://en.wikipedia.org/wiki/期望%E2%80%93maximization_algorithm。
The main problem I see here is:
User rates 1000 comedy movies with average score of 4
User rates 10 action movies with average score of 4.1
How do you order them?
See http://www.evanmiller.org/how-not-to-sort-by-average-rating.html for discussion and one possible solution.
Another problem would be:
If a movie is both comedy and action, and was given a rating of 4.0, how much was it because it is comedy or action ?
You can solve this using expectation maximization http://en.wikipedia.org/wiki/Expectation%E2%80%93maximization_algorithm .