期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2015
卷号：6
期号：6
页码：4878-4881
出版社：TechScience Publications
摘要：With the rise in the number of reviews available online there is an increasing need for classifying and extracting authentic and better quality reviews. In this paper we propose an efficient method for ranking user reviews on online portals (primarily consumer service websites) to enrich user experience and enable efficient decision making through experiences of other users. The algorithm ranks user reviews using content analysis and credibility of the content author. We have introduced author credibility as a factor to take into account the authenticity of the review content. Using scores as outputs from factors mentioned above, we generate a cumulative weighted score and assign it to each review. The scores are then used to rank reviews that would be displayed to users. We correct for weighted averages using feedback from the user-base on the online portal. The algorithm dynamically keeps improving itself using user feedback, making it self aware.
