计算机工程与应用2017，Vol.53Issue(9)：5-10,37,7.DOI:10.3778/j.issn.1002-8331.1611-0508
群体偏好增强的混合群推荐方法
Hybrid group recommendation with enhanced group preferences
摘要
Abstract
To reduce the loss of accuracy, with numerous attributes of items available, a group recommendation method based on enhanced group preference is put forward. This approach takes items'ratings and its attributes into consider-ation. From the aspect of items'ratings, the method generates item candidate set for group recommendation leveraging collaborative filtering. And as for the items'attributes, the preference of group user to each attribute is defined. Taking the group preferences as the weights of different attributes of items, the method clusters the items based on the weighted simi-larity of items to produce items preferred by group. Then the produced items are added into item candidate set to enhance group preference. An experiment is conducted with the dataset from Da Zhong Dian Ping with the proposed method and three other methods. The result shows that the proposed method has better performance.关键词
群推荐/元路径相似性/群体偏好/混合推荐Key words
group recommendation/meta-path similarity/group preference/hybrid recommendation分类
信息技术与安全科学引用本文复制引用
蔡玲,许珺,李奥勇..群体偏好增强的混合群推荐方法[J].计算机工程与应用,2017,53(9):5-10,37,7.基金项目
国家自然科学基金(No.41421001,No.41371380). （No.41421001,No.41371380）
