文章基本信息

标题：USING TREND ANALYSIS AND SOCIAL MEDIA FEATURES TO ENHANCE RECOMMENDATION SYSTEMS: A SYSTEMATIC LITERATURE REVIEW
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作者：AHMED ADAM AHMED ; NAOMIE SALIM
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2013
卷号：55
期号：3
出版社：Journal of Theoretical and Applied
摘要：Recently, Recommendation Systems (RSs) became widely used applications to recommend items to users according to the preferences of users on items. This Systematic Literature Review (SLR) aims to collect evidence on ways of using social media and trend analysis to enhance RSs. Moreover, the research identifies the features of social media that can be used to enhance the efficiency and the effectiveness of RSs, identifies the ways to predict trends from social media and the ways of using the result of trend analysis to enhance the efficiency and the effectiveness of RSs. It classifies the collected evidence, reports the results of the classifications, and lists the features of social media that can be used to understand trends and the ways of using the trend analysis to enhance RSs
关键词：Prediction; Evaluation; Recommender Systems; Social Media; Trend Analysis.