Facebook's user experience philosophy: the antonym of love is not hate

Recently http://www.aliyun.com/zixun/aggregation/1560.html"> Facebook was said to landed in China, compared to Google such Internet Gangster, Facebook Web2.0 Gangster's business philosophy is still revealing Mysterious and fresh, recently CEO Wang Jiusuo about people wrote articles on Facebook articles, very good, grandly recommend "Facebook fragment: the youngest richest man gene analysis." I am impressed with Facebook's philosophy of user experience, with 1.0 The Internet company is completely different, very interesting:

1, "The antonym of love is not hate, but indifference." Youtube revision recently, to cancel the original five-star rating system, as long as the election "like" or "do not like" can be. In other words, both love and hate are feedbacks and interactions with the user experience, while indifference is a hate to a greater extent. Users are very, very, very unlucky about your site. The most common reaction is to ignore you. So, user experience mining has become so important now.

You see, Facebook founder Zuckerberg in the revision, still indifferent to the user's fierce opposition, his strength lies in the deep understanding of the user experience. This 25-year-old insight is surprising.

2, the best design is to reduce the design. Subtraction to retreat, with all platforms can match.

3, rather do chicken head, do not do Pteris. Facebook has a clear first philosophy, one by one win. Wang Jisuo cited an example: Before Facebook was open to other schools, it won 3000 users at Harvard Square. 3000 users for most sites is a mere figure, but for Harvard this 5000 undergraduate schools, is equal to firmly occupy the Harvard market. After a market dominated, Facebook opened to universities around Boston and slowly extended to other Ivy League universities. It was not until later that Cautious joined high school, followed by the company, until very later that all users were allowed to register.
4, powerful data mining. Facebook generates 250T (250,000 G) of data per day, which is calculated as a Hive cluster of thousands of computers and quickly generates answers to all questions. The key is that Facebook and search engines such as Google's data mining is not the same, GOOGLE's data stream shows the moment, and Facebook's data flow shows the future.

Source: http://blog.sina.com.cn/s/blog_53bfd67a0100hro5.html