T9 search method for ten-million-level contacts, electronic equipment and storage medium

Abstract

The invention discloses a T9 search method for ten-million-level contacts. The T9 search method comprises the following steps: storing contact information in an address book into a database, the contact information comprising contact names and telephone numbers; traversing the database, generating a corresponding number key for the telephone number of the contact person, converting the name of thecontact person into corresponding pinyin, and generating a name key according to the pinyin; establishing a generation dictionary tree according to the generated number key and name key; and receiving a key number input by a user from the terminal, searching for corresponding nodes in the dictionary tree according to the key numbers, obtaining all leaf nodes under the nodes, extracting queue codes of queues under the leaf nodes, obtaining corresponding user IDs according to the queue codes, searching for specific contact person information in a database according to the user IDs, and feedingback the contact person information to the terminal. According to the T9 search method, larger data can be stored, and searching of ten million-level contacts can be supported.

Description

technical field [0001] The invention relates to communication technology, in particular to a T9 search method for tens of millions of contacts, an electronic device and a storage medium. Background technique [0002] Usually there are three or four English letters on one key of the mobile phone, for example, there are three letters A, B, and C on the number key 2. If the general input method may press the number key 2 once to select A, and twice to select B, Three times is C, so when inputting pinyin, you need to select the required letter to form the pinyin, while T9 only needs to input the key where the letter is located once, and the program automatically forms a reasonable pinyin according to the algorithm, which greatly reduces the number of keystrokes during input , which is the fundamental reason why T9 search can greatly improve input efficiency. [0003] However, because T9 is used to search for contacts on the terminal, and 90% of the contacts on the terminal are ...

AI Technical Summary

Problems solved by technology

[0006] In order to overcome the deficiencies of the prior art, one of the purposes of the present invention is to provide a T9 search method for tens of millions of contacts, which can solve the problem of low matching efficiency and no support for searches of tens of millions of contacts in the prior art

[0007] The second object of the present invention is to provide an electronic device, which can solve the problem of low matching efficiency and no support for tens of millions of searches in the prior art

[0008] The third object of the present invention is to provide a storage medium, which can solve the problem of low matching efficiency and unsupported tens of millions of search in the prior art

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