Multi-way tree model-based page recommendation method and device

A recommendation method and a technology of a recommendation device, applied in the computer field, can solve problems such as inability to accurately recommend function pages for users, poor user experience, etc.
CN106934006AActive Publication Date: 2017-07-07BANK OF CHINA

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BANK OF CHINA
Publication Date
2017-07-07

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Abstract

The invention provides a multi-way tree model-based page recommendation method and device. The method comprises the following steps of: analyzing all the pages of a service website to generate a multi-way tree model, wherein a root node of the multi-way tree model corresponds to a main menu page, a middle node of the multi-way tree model corresponds to a pull-down menu page, and leaf nodes of the multi-way tree model corresponds to function pages; carrying out word segmentation on a natural language input by a user by utilizing a word segmentation tool, so as to obtain feature words; and searching one or more function pages matched with the feature words from the multi-way tree model. Through the page recommendation method and device provided by the invention, the users can rapidly and correctly locate the to-be-accessed function webpages through simple natural languages.
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Description

technical field

[0001] The invention belongs to the field of computer technology, and in particular relates to a method for recommending webpages to users through in-depth analysis of natural language, specifically a method and device for recommending webpages based on a multi-fork tree model. Background technique

[0002] At present, existing portal websites (for example, online banking, online business halls, etc.) basically display webpage (page) content to customers based on vertical search engines. However, due to the increasing variety of interactive interface functions, people gradually find that vertical search The inconvenience of the engine, such as too much content in the search results, customers cannot identify accurately and quickly; the layout of the search result web pages is chaotic, without distinction between primary and secondary, and users cannot accurately and quickly identify and select; the function classifications overlap each other, and the menu clas...

Claims

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