Version of the filter is edited.
2,2.0 version of the filter mechanism is the Rank: The system has already occurred from the decentralized analyze user behavior in a particular group of valuable content information.
3,1.0 version of the filter is pre-filter, is predictable, what filters do not filter anything, by the small number of editors for the public taste, trends of certainty, they are most happy thing is judged according to their adjustment and understanding recommended content and location, and after engaging in reflection to detect Pageview their own value judgments, by such repeated testing, and ultimately form their own for the popular hot spot for the understanding of this as the guiding ideology to undertake the work of filtering. In fact, on, after a series of positive feedback exercise, the achievement of a good editor, our world from such hot spots is created by a group of people. Their value is undeniable, but we can actually go further. In particular, content in such a homogenization of the era of intense competition. I need to be blue ocean.
4,2.0 version of the filter is after the filter, we do not know what is good and what is popular, and we only know how to monitor, observe, analyze. Google, Amazon, Ebay, Baidu is a master in this regard. Both are based on Pagerank to determine the value of a web page or a trend according to the preferences of visitors recommend related items, or based on a series collection of minority groups, comments, digg act to find quality content, so that means are 2.0 core.
5, but sometimes, not as a filter 2.0 1.0 so that.
6, do not negative 1.0 filter, which is always effective.
7, the absolute good content is still important, but the absolute scarcity of good content, easy homogeneous. At the same time, increasingly become the means to filter content the core competitiveness.
8, users contribute content is the first step, the user with a good way to contribute fully to find valuable content is the second step. to find the good content to find a suitable, interested readers are three steps.
9, the user why the contribution to the content? Why was your contribution to the content? or as Baidu Post Bar example. Why would I want it in the contribution of women over the content? This depends first and foremost, I am how come to this bar. waste flow is so low efficiency, bad money drives out good money is that.
10, then the first person to come, what the right does not, then why did he contribute content ? that there are several reasons, first of all, you have to believe that the world is not all you lazy people like me, there are hibiscus, there are people like Muzi Mei, a performance many people desire. This will be some people it was the first to create your own. If your style, ease of use, feel this sense of fun make him so quickly. or something inspired him. This is why sometimes need to do to promote the cause of the. this principle in tipping point in talking about more than enough.
11, continued ......
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