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Employing User Attribute and Item Attribute to Enhance the Collaborative Filtering Recommendation

机译：利用用户属性和项属性来增强协同过滤建议

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Songjie Gong;
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年度 2014
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1. Employing User Attribute and Item Attribute to Enhance the Collaborative Filtering Recommendation [J] . Song Jie Gong Journal of software . 2009,第8期

机译：利用用户属性和项目属性来增强协作过滤建议
2. On collaborative filtering model optimised with multi-item attribute information space for enhanced recommendation accuracy [J] . Folasade O. Isinkaye, Yetunde O. Folajimi, Adesesan B. Adeyemo International Journal of Intelligent Systems Technologies and Applications . 2020,第3期

机译：关于多项属性信息空间优化的协同过滤模型，提高推荐准确性
3. An improved similarity calculation method for collaborative filtering-based recommendation, considering neighbor's liking and disliking of categorical attributes of items [J] . Pradeep Kumar Singh, Pijush Kanti Dutta Pramanik, Prasenjit Choudhury Journal of Information & Optimization Sciences . 2019,第2期

机译：一种改进的基于协作过滤的推荐相似度计算方法，考虑了邻居对项目分类属性的喜好和不喜欢
4. Collaborative filtering recommendation algorithm considering users’ preferences for item attributes [C] . Xuansen He, Xu Jin International Conference on Big Data and Computational Intelligence . 2019

机译：考虑用户对商品属性的偏好的协同过滤推荐算法
5. Enriching user and item profiles for collaborative filtering: From concept hierarchies to user-generated reviews. [D] . Leung, Wing Ki Cane. 2009

机译：丰富用户和项目配置文件以进行协作过滤：从概念层次结构到用户生成的评论。
6. Collaborative Filtering Recommendation on Users’ Interest Sequences [O] . Weijie Cheng, Guisheng Yin, Yuxin Dong, -1

机译：关于用户兴趣序列的协同过滤建议
7. Employing User Attribute and Item Attribute to Enhance the Collaborative Filtering Recommendation [O] . SongJie Gong 2009

机译：利用用户属性和项目属性来增强协作过滤建议

Employing User Attribute and Item Attribute to Enhance the Collaborative Filtering Recommendation

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