Xiaokun Zhang, Bo Xu, Zhaochun Ren, Xiaochen Wang, Hongfei Lin...
TL;DR提出了一种新的框架 DIMO,通过解开 ID 和模态性在任务中的效应,实现了准确且可解释的推荐,通过因果推断进一步生成两个模板用于解释。
Abstract
session-based recommendation aims to predict intents of anonymous users based on their limited behaviors. Modeling user behaviors involves two distinct rationales: co-occurrence patterns reflected by item IDs, an