Shop information publication and shop information classifying method

Abstract

The present invention relates to a kind of shop information publication containing several catalogues and its shop information classification method. Firstly, sand method utilizes shop business character to classify several shops into M first-order subsets, then according to a specific character standard it can selectively and repeatedly classify said M first-order subsets into P first composite subsets. Besides, according to another specific character standard said M first-order subsets can be selectively classified into N second composite subsets. According to said method the required information can be quickly searched from the publication by user.

Description

Field of Invention [0001] The invention relates to a publication that collects store information and a method for classifying the store's data, in particular to a publication containing multiple catalogs and a method for classifying the store's data in the publication by using a multi-angle manner. Background of the Invention [0002] Generally speaking, publications such as telephone directories, magazines or books that collect store information will classify their store information to facilitate users' access to the information. Taking the existing telephone directory as an example, referring to FIG. 1 , the store information 11 is classified into a plurality of first-order subsets 12 according to the business nature. The business nature of this basis can be referred to the registration information of the Commerce Department of the Ministry of Economic Affairs. For example, in the telephone directory, we classify stores that serve Chinese food or Western food as restauran...

AI Technical Summary

Problems solved by technology

Due to the existence of such problems, users need to refer to the classification instructions additionally, and cannot quickly find the required information

And when the user cannot check the category to which the product or service belongs in the reference category description, the required information cannot be found

For example, when a user wants to buy a Buddhist table, it is impossible to determine which second-order sub-collection the Buddhist table belongs to, and it is also impossible to find the category that includes the Buddhist table in the category description, and cannot find information related to the Buddhist table.

Images