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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.

Active Publication Date: 2017-07-07
BANK OF CHINA
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  • Abstract
  • Description
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Problems solved by technology

[0006] In view of this, the present invention provides a page recommendation method and device based on a multi-fork tree model, which is used to solve the problems in the prior art that functional pages that meet user needs cannot be accurately recommended to users, and user experience is poor

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Embodiment Construction

[0018] In order to make the technical features and effects of the present invention more obvious, the technical solutions of the present invention will be further described below in conjunction with the accompanying drawings. The present invention can also be described or implemented in other different specific examples. The equivalent transformations done within all belong to the protection category of the present invention.

[0019] figure 1 The flow chart of Embodiment 1 of a multi-tree model-based page recommendation method provided for the specific implementation of the present invention, as shown in figure 1 As shown, the main menu page of the service website is used as one or more root nodes of the multi-fork tree, the drop-down menu (refinement menu) page is used as one or more intermediate nodes of the multi-fork tree, and the function page is used as a multi-fork tree One or more leaf nodes to create a multi-fork tree model; use the word segmentation tool to segment...

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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.

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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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/9535
Inventor 杨昊林
Owner BANK OF CHINA
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