Item recommendation method based on user intention in a conversation session

US11257140B2 · kind B2 · utility

Assignee

• NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY · CN

Inventors

• Fei Cai · Nanhu, CN
• Wanyu Chen · Hunan, CN
• Zhiqiang Pan · Hunan, CN
• Yitong Wang · Nanhu, CN
• Chengyu Song · Hunan, CN
• Yanxiang Ling · Hunan, CN
• Xin Zhang · Beijing, CN
• Honghui Chen · Hunan, CN

Key dates

• Filing date: May 19, 2021
• Grant date: Feb 22, 2022
• Expiry date: May 19, 2041

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N3/08
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

The present disclosure provides an item recommendation method and system based on a user intention in a conversation session. In this method, a current conversation session is encoded by use of items of prior time sequence and the last item so as to generate an accurate conversation session representation which is then used to perform initial item prediction as a user intention. Afterwards, an intention-guided neighbor detector is used to locate an accurate neighbor conversation session. Finally, the current conversation session and the neighbor conversation session representations are combined adaptively by a gated mixed layer to generate the final item recommendation, so as to effectively improve the accuracy of item recommendation.