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Towards personalized recommendation by two-step modified Apriori data mining algorithm
2008
Expert systems with applications
In this paper a new method towards automatic personalized recommendation based on the behavior of a single user in accordance with all other users in web-based information systems is introduced. The proposal applies a modified version of the well-known Apriori data mining algorithm to the log files of a web site (primarily, an e-commerce or an e-learning site) to help the users to the selection of the best user-tailored links. The paper mainly analyzes the process of discovering association
doi:10.1016/j.eswa.2007.08.048
fatcat:4kbotpz3lnftdbidpg3tnw6mqq