关键词: 群推荐, 元路径相似性, 群体偏好, 混合推荐

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 consideration. 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 similarity 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.

Key words: group recommendation, meta-path similarity, group preference, hybrid recommendation