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Personalized recommendation method, system and electronic equipment

A recommendation method and similarity technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of inability to distinguish geographical space, lack of meaning of existence, etc., and achieve accurate and refined similarity calculation results Effect

Inactive Publication Date: 2021-04-30
INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, from the perspective of stores, they cannot be distinguished from each other in terms of geographical space, and from the perspective of the entire data level, the geographical location attribute lacks the meaning of existence

Method used

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  • Personalized recommendation method, system and electronic equipment
  • Personalized recommendation method, system and electronic equipment
  • Personalized recommendation method, system and electronic equipment

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0065] The embodiment of the present invention provides a personalized recommendation method, which specifically includes:

[0066] Construct a spatially heterogeneous information network, and construct a semantic path personalized recommendation based on project collaborative filtering based on the relationship between users and historical items, the semantic path similarity between historical items and items to be recommended, and the spatial weight of items to be recommended Model:

[0067] The model is used to calculate the recommendation index of the item to be recommended, and the recommendation is made to the user according to the calculation result.

[0068] It should be noted that the traditional data expression mainly uses structured data such as tags to describe the composition of information, and the obtained data expression structure is a heterogeneous information network, while the traditional heterogeneous information network often directly describes items The ...

Embodiment 2

[0180] A personalized recommendation system, such as Figure 4 As shown, it includes building blocks, personalized recommendation models and recommendation modules, and the personalized recommendation models are respectively connected with the building blocks and recommendation modules; the building blocks are used to build spatial heterogeneous information networks; the personalized recommendation models are based on the Spatial heterogeneous information network, according to the relationship between users and historical items, the semantic path similarity between historical items and items to be recommended, and the spatial weight of items to be recommended to calculate the recommendation index of items to be recommended: recommendation module, based on personality Recommendations are made to users based on the calculation results of the optimized recommendation model.

[0181] Preferably, the personalized recommendation model is:

[0182] Among them, θ q Indicates the w...

Embodiment 3

[0205] an electronic device such as Figure 5 As shown, it includes a memory, a processor, and a computer program stored in the memory and operable on the processor. When the processor executes the computer program, it realizes part of any one of the above-mentioned personalized recommendation methods or all steps.

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PUM

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Abstract

The invention belongs to the technical field of information recommendation, and provides a personalized recommendation method, a personalized recommendation system and electronic equipment.The method comprises the following steps: constructing a spatial heterogeneous information network; constructing a semantic path personalized recommendation model based on project collaborative filtering according to the association relationship between the user and the historical project, the semantic path similarity between the historical project and the to-be-recommended project and the spatial weight of the to-be-recommended project; calculating a recommendation index of the to-be-recommended project by utilizing the model; and recommending to the user according to the calculation result. According to the method, spatial characteristics are fused into a heterogeneous information network with semantic characteristics, the spatial heterogeneous information network is constructed, semantic information and spatial information are fused into a project-based collaborative filtering algorithm in a weight mode, a project-based collaborative filtering recommendation model considering the semantic and spatial characteristics is constructed, and a project-based collaborative filtering recommendation model considering the semantic and spatial characteristics is constructed. The recommendation efficiency and precision can be improved.

Description

technical field [0001] The present invention relates to the technical field of information recommendation, in particular to a personalized recommendation method, system and electronic equipment. Background technique [0002] Personal Recommender System, as a kind of general information retrieval, was first proposed in the 1990s and is currently mainly used in the field of e-commerce. It can dig out certain rules from the historical data accumulated by users, automatically filter out some unnecessary information for users, and actively push the most suitable information according to users' preferences. [0003] Data is the foundation and carrier of the personalized recommendation system. At present, the data expression in the personalized recommendation system adopts the method of bipartite graph, that is, centering on users and recommended items, it contains heterogeneous information of the relationship between the two and their respective attribute characteristics. Network...

Claims

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Application Information

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IPC IPC(8): G06F16/9535G06F16/9536G06F16/9537
CPCG06F16/9535G06F16/9536G06F16/9537
Inventor 许珺
Owner INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS