首页|基于智能算法的网络短视频推荐功能设计

基于智能算法的网络短视频推荐功能设计

扫码查看
文章采用了长短期记忆网络(Long Short-Term Memory,LSTM)的方法思想,通过建模捕捉用户兴趣的长期依赖关系.该方法不仅考虑了用户历史行为,还融合了短时信息,使得推荐系统能够适应用户兴趣变化.实验结果表明,文章提出的模型在预测用户喜好方面具有较高的准确性,能够为用户提供更加精准和有价值的推荐内容.
Design of Network Short Video Recommendation Function Based on Intelligent Algorithm
The article adopts the method of Long Short Term Memory(LSTM)to capture the long-term dependency relationships of user interests through modeling.This method not only considers user historical behavior,but also integrates short-term information,enabling the recommendation system to adapt to changes in user interests.The experimental results show that the model proposed in the article has high accuracy in predicting user preferences,and can provide users with more accurate and valuable recommended content.

intelligent algorithmsonline short videosrecommendation function

杨龙飞

展开 >

平顶山职业技术学院,河南平顶山 467000

智能算法 网络短视频 推荐功能

2024

信息与电脑
北京电子控股有限责任公司

信息与电脑

影响因子:1.143
ISSN:1003-9767
年,卷(期):2024.36(6)