Sequential Association Rules Based on Apriori Algorithm Applied in Personal Recommendation

The association rules is a data mining technology that is to find the regularity from the massive data. Based on the imperfection of the traditional association rule mining algorithm ,and in consider of the electronic commerce time latitude, this text proposed temporal association rules algorithm, which is also applied to the field of electronic commerce. Through analyzing the record of consumer of some category customers purchased during the last month from a website, dig out the regularity of customers choosing their products, to help sellers recommend products the users may be interested in, and developing a reasonable marketing strategy.