How to count thumb-ups and thumb-downs?

Dell Zhang, Robert Mao, Haitao Li, Joanne Mao
2011 Proceedings of the 34th international ACM SIGIR conference on Research and development in Information - SIGIR '11  
It is a common practice among Web 2.0 services to allow users to rate items on their sites. In this paper, we first point out the flaws of the popular methods for user-rating based ranking of items, and then argue that two well-known Information Retrieval (IR) techniques, namely the Probability Ranking Principle and Statistical Language Modelling, provide a simple but effective solution to this problem.
doi:10.1145/2009916.2010130 dblp:conf/sigir/ZhangMLM11 fatcat:drlb5la3dfc3tp6xpr7p44qxnq