Category-aware Collaborative Sequential Recommendation
Renqin Cai, Jibang Wu, Aidan San, Chong Wang, Hongning Wang
Abstract
Sequential recommendation is the task of predicting the next items for users based on their interaction history. Modeling the dependence of the next action on the past actions accurately is crucial to this problem. Moreover, sequential recommendation often faces serious sparsity of item-to-item transitions in a user's action sequence, which limits the practical utility of such solutions.
Topics & Concepts
Computer scienceTask (project management)Action (physics)Sequence (biology)Recommender systemCollaborative filteringArtificial intelligenceMachine learningHuman–computer interactionInformation retrievalEngineeringGeneticsQuantum mechanicsSystems engineeringPhysicsBiologyRecommender Systems and TechniquesAdvanced Graph Neural NetworksImage Retrieval and Classification Techniques