Ranking content using user feedback

作者： Pierre Aoun , Andy Sze-Chai Chan , Jianwen Wang , Zhaowei Jiang , Aparna Thyagarajan

DOI:

关键词: Rating score 、 Relative standard deviation 、 Information retrieval 、 User feedback 、 Computer science 、 Value (computer science) 、 Ranking 、 Content (measure theory)

摘要: A technology is described for ranking content using user feedback. method can include presenting a entry to plurality of users enable viewing the entry. Positive and negative ratings be captured about from users. relative deviation value calculated positive form raw rating score processor. Another operation scaling via power function controversial The may then displayed in ranked order with other entries based on score.