A Cross-Distribution User Intention Identification Based on Topic Transfer

摘要：

　　At present,in the field of financial science,so as to make intelligent recommendation,the potential financial intention is usually analyzed by the behavior patterns of users.However,due to the diversity of user behavior and distribution on different platforms,the feature of users financial behavior are also composed of weak features.In this paper,a cross-distributed user behavior recognition method based on topic transfer model is proposed.To training a transfer model with APP data in source domain,the model can weaken the influence of different distributions and recognize the intention of the target user.Finally,based on the users APP online data,we prove that the model based on topic transfer has better performance on cross-distributed data.

作者: Shan-shan Wang

作者单位: Anhui Institute of International Business,Hefei,230011,China

会议类型: 国际会议

会议名称: The 2nd International Symposium on Application of Materials Science and Energy Materials (SAMSE 2018) 第二届材料科学应用与能源材料国际研讨会2018年

会议地点: 上海

会议语种:英文

页码: 1-5

在线出版日期: 2018-12-17（万方平台首次上网日期，不代表论文的发表时间）