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Work decomposition structure WBS template recommendation method

A work breakdown structure and recommendation method technology, applied in the field of work breakdown structure WBS template recommendation, can solve the problems of sparse interaction matrix, low accuracy of recommendation results, performance impact of recommendation algorithm, etc., achieve accurate recommendation and improve recommendation efficiency

Pending Publication Date: 2020-12-11
北京神舟航天软件技术股份有限公司
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AI Technical Summary

Problems solved by technology

[0005] Due to problems such as sparse interaction matrix and cold start, the performance of existing recommendation algorithms is greatly affected, resulting in low accuracy of recommendation results.
[0006] The WBS template recommendation algorithm is still in theoretical research, and there is no WBS template recommendation algorithm in the market

Method used

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Embodiment Construction

[0029] The present invention will be specifically introduced below in conjunction with specific embodiments.

[0030] The method for recommending a work breakdown structure WBS template provided by an embodiment of the present invention includes the following steps:

[0031] S101. Establish a first interaction matrix P(m,n) between users and WBS templates, where m is the total number of users and n is the total number of WBS templates.

[0032] As a specific embodiment of the present invention, the value in the first interaction matrix P(m,n) represents the user's historical operation record score on the WBS template, for example, adding 1 point to the favorite template, adding 1 point to using the template, and no value means no operate.

[0033] S102, using a deep learning model to obtain a similarity matrix Q(n,n) between WBS templates.

[0034] S103. Complement the first interaction matrix P(m,n) according to the similarity matrix Q(n,n) between the WBS templates to obta...

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Abstract

The invention discloses a work decomposition structure WBS template recommendation method, relates to the technical field of computers, and aims to construct a similarity matrix between WBS templatesby utilizing a deep learning model and complement an interaction matrix between a user and the WBS templates through a complement strategy. According to the method, the problem of low calculation accuracy of the similarity matrix between the users caused by the problems of interaction matrix sparsity and the like is solved, the recommendation efficiency is improved, and the WBS template can be recommended to the users more accurately.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method for recommending a work breakdown structure (WBS) template. Background technique [0002] Work Breakdown Structure (WBS) planning is an important part of project management, and its application effect will directly affect the overall project management effect. For the same company, the same enterprise manager or similar projects, the WBS plans written by them often have similar characteristics. Modifying the WBS plan on the basis of the WBS template will greatly reduce the time and difficulty of writing the WBS plan. [0003] In the case of a large number of WBS templates and fuzzy requirements of users, the excellent WBS template recommendation algorithm can meet the needs of project plans and scenarios, and it can help WBS plan writers from a large number of mines from the aspects of user positions, project types, and user collaboration relationships. More accurate ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9536G06F16/9538G06F30/27G06K9/62G06F40/186
CPCG06F16/9536G06F16/9538G06F30/27G06F40/186G06F18/22
Inventor 张琳昊胡杨博栾森邵壮方进涛任江涛
Owner 北京神舟航天软件技术股份有限公司
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