热门页面跟踪
我们正在开发一个客户支持网站，其中包含各种资源，包括支持文章、视频和新闻。
我们计划使用 Lucene.NET 实现全局搜索，我们希望它的显示类似于 Google，即；根据相关性和受欢迎程度内嵌显示所有不同的资源。我们还将按“最高评价”或“最受欢迎”等内容过滤索引页。
我的主要问题是跟踪实际上最流行的内容，打开页面后多长时间将其归类为“视图”。例如，如果客户进行搜索，您如何跟踪他们打开的结果实际上是他们正在寻找的内容，您在什么时候向所使用的搜索词添加“权重”？
我知道这一切都是基于假设，我实际上只是在寻找一种准确的方法来向用户显示最相关的数据。
任何正确方向的建议或观点将不胜感激。
We are working on a customer support site that contain various resources including support articles, videos and news.
We plan in implementing a global search using Lucene.NET and we are wanting to have it display similar to Google, ie; all different resources displayed inline based on relevance and popularity. We will also have index pages filter by thing like "Top Rated" or "Most Popular".
My main question is tracking what is actually most popular, how long after the pages is opened do you class it as a "View". for example if a customer does a search how do you track which result they opened was actually what they were looking for, at what point do you add "weight" to the search terms used?
I understand this is all based on assumptions, I'm really just looking for an accurate way to display the most relevant data to the user.
Any advice or points in the right direction would be appreciated.
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检测满意搜索的一种方法是存储他们在给定时间范围内针对给定查询点击的页面。如果他们单击显示在下方的结果并停止搜索，也许他们对排名较低的文档感到满意。
如果您想要进行任何类似 PageRank 的分析，您必须将其作为爬网和索引步骤的一部分，而不是在用户搜索时即时进行。例如，Nutch 可以在爬行和索引时执行某些分析。
One approach to detecting a satisfied search is to store which pages they click on for a given query in a given time frame. If they click results that show up further down, and stop searching, perhaps they were satisfied with a lower-ranking document.
If you want to do any analysis like PageRank you will have to do that as part of the crawling and indexing steps rather than on the fly as the user searches. Nutch, for example, can perform certain analyses at crawl and index time.