If it helps, one connection I see is that recommender systems often involve causal questions like: “how will user behavior change if we change the order these results appear in, or if we change which results appear in the first page of results, etc.”. Additionally, since we can only show one ranked set of answers for each query, counterfactual questions also rapidly arise about what would have happened if we had answered past queries differently.