Content retrieval that cannot be ignored by classified information (i)

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Website success or not, user experience often plays an important role, but with the increasing content of the site, content retrieval must become an integral part of the site, for the classification of information network is so. Let's talk about the problem of classified information:

1, the classification of too many users are too confused, where the user refers to the users of the message, because the same information may belong to more than one category, then I sent to which category, repeated hair is bound to be deleted, the category of improper selection and easy to ignore, this is a problem.

2, the classification of too few users too confused, the user here refers to the user to find information, because the classification is too small will cause a classification of the content of too much, so find information is also a problem.

3, found the right classification, but can not find the information, such as renting a house, I may want to rent a piece of the house, but the usual housing leasing classification of the amount of information is very large, so like a needle in a haystack, find the message you want is very difficult.

In this dilemma, content retrieval appears to be an essential solution to the problem. The search here is divided into two types

1, for the title of Full-text Search, only index title, user search is only for the title of the retrieval, the advantages: fast, because the content of the index is relatively small, shortcomings: the content of the index is not comprehensive.

2, for the information content of the full text search, at the same time index title and content, user search for Full-text retrieval, advantages: Comprehensive index content, users find information easier, disadvantage: slightly slower, because the content of the index is relatively large.

In fact, for the classification of information, only the index title is enough, because the title has often covered most of the keywords, the following screenshot is the Shenzhen Classification Information Network screenshot, into the http://www.maixu.com can be seen in the upper right search box, enter the "Nanshan Hai Ya department store" You can see the following search results.

So the user wants to find information is very easy, for improving the user experience has a very big help, as for how to do full-text indexing, I will in the next article in detail

This article by the Shenzhen Classification Information Network http://www.maixu.com Original, reprint please indicate welcome reprint. Contact qq:1103061397