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Intention-Aware Sequential Recommendation With Structured Intent Transition by Haoyang Li; Xin Wang; Ziwei Zhang; Jianxin Ma; Peng Cui; Wenwu Zhu is a Computer Science article available to read on EtoBox.

Human behaviors in recommendation systems are driven by many high-level, complex, and evolving intentions behind their decision making processes. In order to achieve better performance, it is important for recommendation systems to be aware of user intentions besides considering the historical interaction behaviors. However, user intentions are seldom fully or easily observed in practice, so that the existing works are incapable of fully tracking and modeling user intentions, not to mention using them effectively into recommendation. In this paper, we present the Intention-Aware Sequential Recommendation (ISRec) method, for capturing the underlying intentions of each user that may lead to her next consumption behavior and improving recommendation performance. Specifically, we first extract the intentions of the target user from sequential contexts, then take complex intent transition into account through the message-passing mechanism on an intention graph, and finally obtain the future intentions of this target user from inference on the intention graph. The sequential recommendation for a user will be made based on the predicted user intentions, offering more transparent and expla

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Author
Haoyang Li; Xin Wang; Ziwei Zhang; Jianxin Ma; Peng Cui; Wenwu Zhu
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2022
Language
EN
Field
Computer Science (Physical Sciences)