Dynamic Causal Collaborative Filtering. (arXiv:2208.11094v1 [cs.IR])

Causal graph, as an effective and powerful tool for causal modeling, is
usually assumed as a Directed Acyclic Graph (DAG). However, recommender systems
usually involve feedback loops, defined as the cyclic process of recommending
items, incorporating user feedback in model updates, and repeating the
procedure. As a result, it is important to incorporate loops into the causal
graphs to accurately model the dynamic and iterative data generation process
for recommender systems. However, feedback loops are not always beneficial
since over …

arxiv collaborative collaborative filtering filtering