Value-Aware Product Recommendation by Customer Segmentation using a suitable High-Dimensional Similarity Measure

ArXi:2604.26983v1 Announce Type: cross This paper presents a novel value-aware approach to product recommendation that simultaneously addresses the high dimensionality and sparsity of user-item data while explicitly incorporating the contribution of each product and user to overall sales revenue. The proposed framework encodes revenue contributions in the user-item matrix and computes customer similarity directly on this basis using suitable distance measures.