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From Overlooked to Explored: Recovering Item Relations via Mixture of Perspectives for Sequential Recommendation
Capturing user preference from a user's interaction sequence is the central challenge of Sequential Recommendation (SR). This preference intuitively emerges from inter-item relations: each item transition reflects a preference embedded in the relations between items, making the faithful capture of t
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