分析越多的类目(种类)和用户数据，系统越有可能生产好的推荐。
The more item and user data a recommender system has to work with, the stronger the chances of getting good recommendations.
有很多不同的属性可用，包括页面元数据、修订、链接、图片、模板、类目等等。
A number of different properties are available, including page metadata, revisions, links, images, templates, categories, and so on.
用这两种方法对五类目标缩比模型的外场测量数据进行实验均得到较好的识别结果。
Applying the two methods to five target scale models data measured at outfield achieves good recognition results.
应用推荐