期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2015
卷号：4
期号：3
页码：10608-10610
出版社：IJECS
摘要：Web-page recommendation plays an important role in intelligent Web systems. Recommender system apply varioustechniques and prediction algorithm to predict user interest on information, items and services from the tremendous amount ofavailable data on the internet. The paper studies various algorithm in weka and the metrices used to evaluate algorithmperformance. The basic algorithm or predictive model we use are – page rank, Rule mining collaborative filtering, Contextmatching simple linear regression, k-nearest neighbours(kNN), naives bayes, support vector machine
关键词：Web Page Recommendation; web page recommendation algorithm; web page recommendation techniques; web usage;mining; rule mining
