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A novel scheme for item-based recommendation is proposed in this paper. In our framework, the items are described by an undirected weighted graph Q = (V,epsiv). V is the node set which is identical to the item set, and epsiv is the edge set. Associate with each edge eij isin epsiv is a weight omegaij ges 0, which represents similarity between items i and j. Without the loss of generality, we assume...
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