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Collaborative filtering technologies are facing two major challenges: scalability and recommendation quality, which are two goals in conflict. Nowadays more studies are focusing on the quality issue but less on the scalability one. We introduce a genetic clustering algorithm to partition the source data, guaranteeing that the intra-similarity is high but the inter-similarity is low. The clustering...
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