When the traditional Item - Based collaborative filtering recommendation is computing the nearest neighbor set of items, relying on scoring matrix similarity degree evaluation standard is one fold. In order to calculate program similarity better, the improved algorithm brings in project-Tag matrix, which can get comprehensive similarity combined with the score matrix. The experimental results show that IBCF-TAG recommendation algorithm based on the Tag can achieve better accuracy of recommendation than traditional recommendation algorithm based on the item.
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