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Abstract: Based on the Association Rule theory in data mining technology, a suit of Correlated-Product Recommendation System is designed for the individuation service in e-marketing. By using much correlated data, we study and compare three typical algorithms for generating the frequent item-set that is the most important step for the whole efficiency. At last an integrated algorithm model, which is well suitable for the system in e-commerce，is given.

Key words: association rule, individuation, correlated-product recommendation