Webpage theme information extraction method

Abstract

The invention discloses a webpage theme information extraction method. The method comprises the following steps that a structural representation method of tree-shaped information is used for representing individual service problems; logical representation of structured problems is conducted; orderly solving of the individual problems is conducted. Due to the fact that the structural representation method of the tree-shaped information is used for describing the individual service problems, the individual service problems of various fields and modes are represented by using three basic elements which refer to the service content element, the service object element and other elements, the individual service problem is divided into a basic element layer, a basic information layer and a sub information layer, so that the individual service problems of information systems in most of fields are structuralized, and the recommendation rules of individual service can be set. According to the webpage theme information extraction method, a weighted search solving method is used, the weight of a reasoning result related to the current purchase history of a customer is maximum, sequential lowering according to a purchase sequence in later is achieved, and new resources interested by a server object is recommended.

Description

technical field [0001] The invention relates to a network technology, in particular to a method for extracting web page topic information. Background technique [0002] With the popularization of the Internet and the development of information technology, a large number of information resources have been formed. With the continuous enrichment of network resources and the continuous expansion of network information, people's dependence on the network is becoming stronger and stronger, but it also brings inconvenience to service objects to quickly find the specific resources they need from the vast Internet resources. Extracting useful resources from massive amounts of information is an urgent problem to be solved at present, and the main information expressed by Web pages is usually hidden in a large number of irrelevant structures and texts, which prevents users from quickly obtaining topic information and limits the use of Web pages. Usability, clients tend to lose their g...

AI Technical Summary

Problems solved by technology

With the continuous enrichment of network resources and the continuous expansion of network information, people's dependence on the network is becoming stronger and stronger, but it also brings inconvenience to the service objects to quickly find the specific resources they need from the vast Internet resources.

Extracting useful resources from massive amounts of information is an urgent problem to be solved at present, and the main information expressed by Web pages is usually hidden in a large number of irrelevant structures and texts, which prevents users from quickly obtaining topic information and limits the use of Web pages. Usability, clients tend to lose their goals when querying information, or get some biased results

Therefore, when browsing the search results, many service objects often spend a lot of time and energy looking at pages that are not related to the services they searched for, which makes many service objects lose confidence in search engines, resulting in the loss of service objects

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