期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2015
卷号：4
期号：3
页码：884
DOI：10.15680/IJIRSET.2015.0403012
出版社：S&S Publications
摘要：Mining high utility itemsets has gained much significance in the recent years. When the data arrivessporadically, incremental and interactive utility mining approaches can be adopted to handle users‟ dynamicenvironmental needs and avoid redundancies, using previous data structures and mining results. The dependence onrecommendation systems has exponentially risen since the advent of search engines. This paper proposes a model forbuilding a recommendation system that suggests high utility itemsets over dynamic datasets for a location predictionstrategy to predict users‟ trajectories using the Fast Update Utility Pattern Tree (FUUP) approach. Throughcomprehensive evaluations by experiments this scheme has shown to deliver excellent performance.
