Net label input prompting method

Abstract

The invention discloses a net label input prompting method. The user enters a label input window of a browser to input a label, and an asynchronous request is sent to a web server for tabbing during each input; a label index receives the asynchronous search inquiry, reads fuzzy matched label data read in a label index storage and sends the label data to a label prompting window of the browser; the user selects one of the labels according to the content of the prompting window or selects a novel input; then the result is published on a label publishing display window, and the label and the user ID (identifier) are sent to the label index storage and user historical label processing of the web server through the asynchronous manner. The net label input prompting method has the advantages that inaccurate label defying, caused by blind input, is avoided, classification of the hashtags is accurate, and with the friend prompting, the user more comfortably experiences the label function.

Description

technical field [0001] The invention relates to an input prompt method of a network label. Background technique [0002] In the existing social network service platforms, it is common to use tags to classify and aggregate topics, so that users can search and find a class of topics with strong correlation through tags. Setting labels for topics is mostly done by users manually inputting complete English or Chinese characters. During the use process, if there is no better prompt, the following situations often occur: [0003] 1. For some novice users, there will be a feeling of being unable to start, and they don't know how to define tags; [0004] 2. The label entered by the user has already been defined by others, or the input label is different from other existing labels only in individual letters or Chinese characters, and has the same meaning. In this case, the topic may be classified into different labels, losing original classification meaning; [0005] 3. Maybe the ...

AI Technical Summary

Problems solved by technology

[0003] 1. For some novice users, there will be a feeling of being unable to start, and they don't know how to define tags;

[0004] 2. The label entered by the user has already been defined by others, or the input label is different from other existing labels only in individual letters or Chinese characters, and has the same meaning. In this case, the topic may be classified into different labels, losing original classification meaning;

[0005] 3. Maybe the description of the original user-defined label itself is wrong, so it can be corrected;

[0008] An inconvenient tag input device will greatly reduce the user experience. At the same time, since the tags are freely defined by the user, the tags will increase a lot over time. How to solve the performance problem also needs to be considered