Drashti Shrimal, Harshali Patil

Model-Agnostic Explainability for Sequential Recommendation: A Shapley-Based Framework With Multidimensional Evaluation

Sequential recommender systems rely on users’ previous interactions to predict what they may prefer next. Although recent models can capture complex patterns in interaction histories, understanding which past interactions actually contribute to a recommendation remains difficult, particularly when the models use differ...