Search method and system based on relation attributes

Abstract

The invention discloses a search method and system based on relation attributes. The method comprises the steps of providing a part catalogue by a complete system manufacturer; extracting and concluding a slave attribute and adjacency data relation chain, constructing a part number index database according to the slave attribute and adjacency data relation chain; when a user uses search by takingthe relation attribute as a daily expression habit, firstly retrieving and confirming a part number of a product through a system, and then accurately matching through the part number to obtain a result capable of meeting the replaceability or interchangeability requirements of the user; the user does not need to have hard professional knowledge and skills, so that the problem that in the prior art, due to the lack of relational attribute data, search can only recommend a possibility result taking confidence as a basis, the user has to face an embarrassing situation without selection under thecondition of lack of professional knowledge, and then a transaction cannot be achieved is solved. When a user directly inputs the part number, a result capable of meeting the replaceability or interchangeability requirement of the user can be directly and accurately matched through the part number.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a search method and system based on relational attributes applied in the vertical professional field. Background technique [0002] A search engine refers to a system that uses specific computer programs to collect information from the Internet according to a certain strategy, organizes and processes the information, provides users with retrieval services, and displays the retrieved relevant information to users. The search method involved in this application is between a vertical search engine and a catalog search engine, and relies on the preprocessing of catalog search data to support a professional search method for fast retrieval of data in the corresponding professional vertical field. [0003] With the rapid development of the Internet into subdivided fields, the statistics-based ranking technology of traditional search engines can no longer meet the search needs of prof...

AI Technical Summary

Problems solved by technology

[0008] In the above data processing process, when the user lacks in-depth professional knowledge and cannot judge and select the results that meet the requirements of substitutability or interchangeability from the results of the search output product information, it is still necessary to rely on manual customer service

Since a vertical professional field often involves different technical fields such as machinery, electronics, hydraulics, pneumatics, refrigeration, etc., it is impossible for human customer service to have professional knowledge and skills in these technical fields at the same time, resulting in the interruption of transactions and the loss of business opportunities

Images