Applying Hiberarchy Clustering Arithmetic to Personalized Item Recommendation
Min Min · Computer Knowledge and Technology · 2006
Personalized item recommendation is one of the importantl aspects of personalization services given by e-business;meanwhile,collaborative Filtering technology based on clustering is the one most widely applied to recommendation syetem.Hiberarchy clustering arithmetic is the one often used in this system.In accordance with the characteristic of e-business webs,this paper forwards Improved-Rock arithmetic,an adaptive methods of belonged to hiberarchy clustering arithmetic.This arithmetic is appropriate to clustering based on similar sorts of item purchased by users.Simulative experiments indicate that the application of this arithmetic is practical and valuable.