CN113191838A - Shopping recommendation method and system based on heterogeneous graph neural network - Google Patents
Shopping recommendation method and system based on heterogeneous graph neural network Download PDFInfo
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Abstract
本发明公开了一种基于异质图神经网络的购物推荐方法及系统,所述方法包括:获取多个用户针对商品的历史行为记录,并根据用户对商品的行为划分为多个数据集;对于每一种行为,分别根据相应数据集生成初始的用户、商品和用户对商品行为关系特征向量;采用图卷积神经网络训练得到最终的用户、商品和用户对商品行为关系特征向量;将最终的用户和商品特征向量进行拼接,得到用户‑商品特征向量;根据用户‑商品特征向量和用户对商品行为关系特征向量,得到用户对于各商品的评分预测。本发明通过将不同用户、商品和用户对商品行为关系构成一张异质图,基于图卷积神经网络进行用户与商品之间关系的链路预测,能够引入更丰富的信息,推荐精度更高。
The invention discloses a shopping recommendation method and system based on a heterogeneous graph neural network. The method includes: acquiring the historical behavior records of multiple users for commodities, and dividing them into multiple data sets according to the user's behavior towards commodities; For each behavior, the initial user, product and user-to-product behavior relationship feature vectors are generated according to the corresponding data sets; the final user, product, and user-to-product behavior relationship feature vectors are obtained by using graph convolutional neural network training; The user and product feature vectors are spliced to obtain the user-product feature vector; according to the user-product feature vector and the user-to-product behavior relationship feature vector, the user's rating prediction for each product is obtained. By forming a heterogeneous graph of different users, commodities and user-to-commodity behavior relationships, the present invention performs link prediction of the relationship between users and commodities based on the graph convolutional neural network, which can introduce richer information and have higher recommendation accuracy.
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Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113254803A (en) * | 2021-06-24 | 2021-08-13 | 暨南大学 | Social recommendation method based on multi-feature heterogeneous graph neural network |
CN113643212A (en) * | 2021-08-27 | 2021-11-12 | 复旦大学 | A Depth Graph Noise Reduction Method Based on Graph Neural Network |
CN113849744A (en) * | 2021-10-15 | 2021-12-28 | 上海大参林医疗健康科技有限公司 | Anonymous recommendation device and method |
CN114169927A (en) * | 2021-12-07 | 2022-03-11 | 合肥工业大学 | Product personalized combination recommendation method based on multi-armed bandit algorithm |
CN114580794A (en) * | 2022-05-05 | 2022-06-03 | 腾讯科技(深圳)有限公司 | Data processing method, apparatus, program product, computer device and medium |
CN115080846A (en) * | 2022-05-30 | 2022-09-20 | 广州大学 | Scene information fused graph neural network clothing recommendation method |
CN117557318A (en) * | 2023-12-29 | 2024-02-13 | 青岛巨商汇网络科技有限公司 | Management intelligent analysis method and system based on virtual shopping |
CN118799039A (en) * | 2024-09-12 | 2024-10-18 | 福建理工大学 | A method, system, device and storage medium for e-commerce recommendation based on multi-channel heterogeneous graphs |
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CN112380435A (en) * | 2020-11-16 | 2021-02-19 | 北京大学 | Literature recommendation method and recommendation system based on heterogeneous graph neural network |
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CN110648163A (en) * | 2019-08-08 | 2020-01-03 | 中山大学 | Recommendation algorithm based on user comments |
CN112380435A (en) * | 2020-11-16 | 2021-02-19 | 北京大学 | Literature recommendation method and recommendation system based on heterogeneous graph neural network |
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Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113254803A (en) * | 2021-06-24 | 2021-08-13 | 暨南大学 | Social recommendation method based on multi-feature heterogeneous graph neural network |
CN113643212A (en) * | 2021-08-27 | 2021-11-12 | 复旦大学 | A Depth Graph Noise Reduction Method Based on Graph Neural Network |
CN113643212B (en) * | 2021-08-27 | 2024-04-05 | 复旦大学 | A deep image denoising method based on graph neural network |
CN113849744A (en) * | 2021-10-15 | 2021-12-28 | 上海大参林医疗健康科技有限公司 | Anonymous recommendation device and method |
CN114169927A (en) * | 2021-12-07 | 2022-03-11 | 合肥工业大学 | Product personalized combination recommendation method based on multi-armed bandit algorithm |
CN114580794A (en) * | 2022-05-05 | 2022-06-03 | 腾讯科技(深圳)有限公司 | Data processing method, apparatus, program product, computer device and medium |
CN114580794B (en) * | 2022-05-05 | 2022-07-22 | 腾讯科技(深圳)有限公司 | Data processing method, apparatus, program product, computer device and medium |
CN115080846A (en) * | 2022-05-30 | 2022-09-20 | 广州大学 | Scene information fused graph neural network clothing recommendation method |
CN115080846B (en) * | 2022-05-30 | 2024-06-11 | 广州大学 | Scene information-fused graphic neural network clothing recommendation method |
CN117557318A (en) * | 2023-12-29 | 2024-02-13 | 青岛巨商汇网络科技有限公司 | Management intelligent analysis method and system based on virtual shopping |
CN117557318B (en) * | 2023-12-29 | 2024-06-11 | 青岛巨商汇网络科技有限公司 | Management intelligent analysis method and system based on virtual shopping |
CN118799039A (en) * | 2024-09-12 | 2024-10-18 | 福建理工大学 | A method, system, device and storage medium for e-commerce recommendation based on multi-channel heterogeneous graphs |
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