Research Article
Personal Recommendation Using a Novel Collaborative Filtering Algorithm in Customer Relationship Management
Table 2
Algorithmic performance for Book-Crossing dataset. The ranking score, precision, recall, intrasimilarity, and hamming distance are corresponding to L = 50,60,70. And the value of parameter is 1.86. Each number presented in this table is obtained by averaging over five runs, each of which has an independently random division of training set and test.
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