Business searching method and system

Abstract

The invention discloses a business searching method. The method comprises the following steps: a business searching request is received by a business searching engine; a content tag matched with a business searching keyword is searched in a content tag data base by the business searching engine as per the business searching keyword; content classification data, to which the content tag corresponds, is searched in a content classification data base by the business searching engine as per the content tag, and a business list, to which the content classification data corresponds, is obtained; and the business list is returned to a user by the business searching engine. Correspondingly, the invention further discloses a business searching system. The embodiment of the business searching method and system is no longer limited by keyword number or character number, and increases the effectiveness and matching degree of the keyword searching; and besides, the classification searching mechanism accelerates searching, and increases searching efficiency.

Description

technical field [0001] The present invention relates to the technical field of mobile Internet services, and more specifically, to a service search method and system. Background technique [0002] The existing mobile Internet business application platform provides users with a variety of business application services; due to the variety and quantity of services provided by the business application platform, when users use these business applications, they need to search through keywords on the business portal , find the corresponding services, and then use these services; however, on each of the current service portals, the search for services is based on fuzzy search and matching of keywords registered when the service is launched, without involving the service content. [0003] With the maturity of mobile Internet technology, the types and quantities of services that mobile Internet service application systems can provide are increasing. As a result, when searching for ser...

AI Technical Summary

Problems solved by technology

[0004] 1. Restricted by the number of keywords: When operators set query and search keywords for business, they are generally limited by the number of keywords in the system. They can only set a few fixed keywords, and each keyword All must be controlled within the specified length range;

[0005] 2. The effectiveness of keywords is poor: When operators set query and search keywords for the business, they generally set keywords based on the operator's own understanding or the general characteristics of the current business, and each operator's understanding of the business There are differences in the extraction of generality and business because of its subjectivity, which leads to the fact that the set keywords cannot be guaranteed to be effective and in line with the actual characteristics of the business. Whether users can search for the business they want according to their needs, It depends entirely on the selected keywords, which may cause users to be unable to find the business they need;

[0006] 3. The efficiency of the keyword search algorithm is low: In the current keyword search technology, fuzzy character matching is basically used. Among the keywords set by the operator, according to the rules of fuzzy matching, qualified services are matched. , when more keywords are set and the number of businesses is more, the search efficiency will be lower;

[0007] 4. The matching degree between keywords and business content is low: the content provided by the business is constantly changing, but the set keywords are fixed and cannot be automatically changed according to changes in the content, thus causing users to search results based on keywords and business There is no direct correlation between the provided content, resulting in a low match rate for business searches

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