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基于深度神经网络的电视节目推荐模型研究

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目前,智能电视已经普及,观众在面对海量的电视节目资源时,往往无法快速找到自己喜欢的节目.基于此,提出在全连接神经网络前端插入注意力层,并使用该神经网络构建一个电视节目推荐模型.实验证明,所构建的模型具有较高的推荐准确率和效率.
Research on Television Program Recommendation Model Based on Deep Neural Network
At present,smart television has been popularized,and the audience often cannot quickly find their favorite programs in the face of massive television program resources. Based on this,the attention layer is inserted into the front end of the fully connected neural network,and a television program recommendation model is constructed using the neural network. Experimental results show that the proposed model has high recommendation accuracy and efficiency.

fully connected neural networkattention mechanismtelevision program recommendation

李欣宇

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青岛科技大学传媒学院,山东 青岛 266061

全连接神经网络 注意力机制 电视节目推荐

2024

电视技术
电视电声研究所 中国电子科技集团公司第三研究所

电视技术

影响因子:0.496
ISSN:1002-8692
年,卷(期):2024.48(9)