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A reputation system is a program or algorithm that allow users of an online community to rate each other in order to build trust through reputation.Some common uses of these systems can be found on E-commerce websites such as eBay, Amazon.com, and Etsy as well as online advice communities such as Stack Exchange. [1]
A rating system can be any kind of rating applied to a certain application domain. They are often created using a rating scale. Examples include:
[1] PICS often used content labeling from the Internet Content Rating Association, which has also been discontinued by the Family Online Safety Institute's board of directors. [2] An alternative self-rating system, named Voluntary Content Rating, [3] was devised by Solid Oak Software in 2010, in response to the perceived complexity of PICS. [4]
This image shows an example of predicting of the user's rating using collaborative filtering. At first, people rate different items (like videos, images, games). After that, the system is making predictions about user's rating for an item, which the user has not rated yet. These predictions are built upon the existing ratings of other users ...
An example of collaborative filtering based on a rating system. One approach to the design of recommender systems that has wide use is collaborative filtering. [46] Collaborative filtering is based on the assumption that people who agreed in the past will agree in the future, and that they will like similar kinds of items as they liked in the past.
Content labeling may be considered another form of content-control software. In 1994, the Internet Content Rating Association (ICRA) — now part of the Family Online Safety Institute — developed a content rating system for online content providers. Using an online questionnaire a webmaster describes the nature of their web content.
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Because ratings are based on samples, it is possible for shows to get a 0.0 rating, despite having an audience; CNBC's talk show McEnroe was one notable example. [26] Another example is The CW show, CW Now, which received two 0.0 ratings in the same season. In 2014, Nielsen reported that American viewership of live television (totaling on ...