It is unrealistic to search for humans by means of location labeling.

// Keep this row in chengg0769

Recently, we saw the so-called "Enclosure" and "human flesh search. In a word, Yahoo cannot survive in the current massive amount of data thanks to such artificial classification methods.

1. Organizational Issues

No one can operate a group of 10 thousand people without funds.

2. Cost Problems

Even if the cost of RMB 1000/person is used to collect data, who will pay the RMB 1000 million ??

3. Time cost problems

How much can a machine do in one second? The database can process million pieces of data in one hour, depending on people, and may not be able to process in.

4. Non-Public License

If a person is involved in organizing the materials, there is a serious loss of Public License. For example, if my customer makes their materials complete and unfamiliar, ignore them, or ask for tip... Too many problems

5. Internet users do not have the habit of obtaining data at a paid price. Even if the paper is published

6. Stick to the problem

No one can pay for it without profit. Unless it is done by machines. Machines do not seek any return.

7. Complete Information

For example, I want to query the statistics of all schools in China. If you only have 1000 schools, it makes no sense.

8. Professional Knowledge

Editors of any materials must be professional and semi-professional editors at least. How can someone who doesn't know a certain industry believe the materials they have prepared. How can I use it for reference?

9. concepts can be used for a while without the ability to survive

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Conclusion: The method of daydreaming.