Method for searching and matching articles by way of tree graph

Abstract

The invention discloses a method for constructing, searching, matching and representing articles, commodities and service information by way of a tree graph and aims to improve the efficiency of precisely retrieving and managing required articles, commodities and services in the field of electronic commerce, Internet shopping, product management and the like. A client, a background system for information interaction with the client and a method for constructing, searching, matching and representing an article set tree graph between the client and the background system are included. The background system comprises a tree graph matching and searching engine, an article type attribute tree library and an article library. Compared with the prior art, the method disclosed by the invention has the advantages that precise positioning of required articles is realized by the user, ambiguity and nondeterminacy for determining searching conditions by character recognition are avoided, the quantity of irrelevant articles represented to the user is reduced, and meanwhile, the article retrieval efficiency is improved.

Description

technical field [0001] The invention relates to a method for searching and matching item or service information, in particular to a method for constructing, searching, matching and presenting item or service information in the form of a tree diagram. Background technique [0002] With the development of the Internet and e-commerce, various shopping and product management websites provide users with more and more items and services. In the face of a large number of candidate items, products and services, search engines It often becomes the main mode of operation for users. In general, users use traditional keyword matching methods to search for items, goods, and services. Users use keywords to search for the desired item or service name, Item or service attributes, etc., generally through a one-dimensional text input box, let users enter keywords to search for items, or assist in providing some categories, such as price, region, visits, etc. Then the search engine uses fuzzy...

AI Technical Summary

Problems solved by technology

However, due to the semantic uncertainty of one-dimensional keyword queries, even if the keywords are separated by spaces, there is still the problem of insufficient keyword search accuracy, especially when performing joint searches on multiple attributes. Keywords are difficult to achieve precise item or service matching; and, behind the same keyword query, the user's search intent may not be exactly the same, that is, the search keyword can be item name, brand or attribute; therefore, in the case of a large amount of data, In order not to miss relevant item or service information, search engines usually give a large number of search results and allow users to choose, making it difficult for users to find the item or service they need in a short time. The larger the value, the more obvious the above problems become

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