How to count thumb-ups and thumb-downs?: an information retrieval approach to user-rating based ranking of items

Dell Zhang, Robert Mao, Haitao Li, Joanne Mao

Abstract: 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.