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发表时间： 2022-10-10

发表刊物： 模式识别与人工智能

所属单位： 人文与社会科学学部

期号： 3

页面范围： 235-241

ISSN号： 1003-6059

摘要： Group sample used for training the ranking model provides a new idea to construct learning to rank methods.In this paper,the new loss function is constructed for group samples to train the learning to rank model.The preference-weighted loss function and the initial ranking list optimization are employed to construct a new group learning to rank method based on neural network.Experimental results show that the proposed approach is effective in improving ranking performance.

备注： 新增回溯数据