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Scientific and technological resource recommendation method and system

A recommendation method and technology technology, applied in the recommendation method and system field of scientific and technological resources, can solve problems such as data sparseness and cold start, and achieve the effect of improving accuracy

Pending Publication Date: 2020-11-13
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0005] In order to solve the problems of data sparsity and cold start in the above-mentioned collaborative filtering recommendation algorithm, this application proposes a method and system for recommending scientific and technological resources, using the incremental method of singular value decomposition to repeatedly calculate the original matrix unchanged each time Singular Value Decomposition, Addressing Sparsity Problems and Dynamic Target User Interests

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  • Scientific and technological resource recommendation method and system
  • Scientific and technological resource recommendation method and system
  • Scientific and technological resource recommendation method and system

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Embodiment Construction

[0044] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0045]It should be noted that the method provided in the embodiment of this specification is applicable to a server, and may also be applicable to a terminal device, such as a smart phone, a tablet computer, etc. in practical applications, which is not limited in this embodiment of this specification.

[0046] For ease of description, the technical solutions of the embodiments of this specification will be introduced below with the execution subject as the serv...

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Abstract

The invention relates to the technical field of the Internet, and relates to a scientific and technological resource recommendation method and system. The method comprises the following steps: calculating coupling object similarity among scientific and technological resources by utilizing a user-scientific and technological resource scoring matrix; constructing a regularization item containing science and technology resource attribute information; processing the regular term by using a matrix decomposition algorithm, and constructing a loss function of a scoring model; optimizing the loss function according to a stochastic gradient descent method to respectively solve an optimal target user hidden feature matrix and an optimal scientific and technological resource hidden feature matrix; calculating score values of the target user for different science and technology resources by utilizing the scoring model; and taking the first N scientific and technological resources with the highestscore value as a recommendation set of the target user and outputting the recommendation set. According to the method, a coupling similarity measurement method is used to accurately describe the nonlinear relationship between the scientific and technological resources, the association relationship between the scientific and technological resources can be more comprehensively captured, and the accuracy of the scoring model is comprehensively improved by adopting the overall structure and the local information.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to a method and system for recommending scientific and technological resources. Background technique [0002] There is a large amount of effective but messy scientific and technological resource information in the smart technology service platform driven by big data. The management of this information often indirectly leads to problems such as high maintenance costs and inconvenient management of resources. The recommendation algorithm can analyze the needs of specific target users from these effective and messy data information, and provide more humanized and intelligent recommendation services for target users, so as to achieve the purpose of rational deployment and allocation of scientific and technological resources. [0003] One of the most successful techniques in recommender systems employs the Collaborative Filtering (CF) approach, which recommends technological resourc...

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Application Information

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IPC IPC(8): G06F16/9535
CPCG06F16/9535
Inventor 马创覃思诗产拙胡新庭
Owner CHONGQING UNIV OF POSTS & TELECOMM
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