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Date of Publication:2022-10-10

Journal:模式识别与人工智能

Affiliation of Author(s):人文与社会科学学部

Issue:3

Page Number:235-241

ISSN No.:1003-6059

Abstract: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.

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