Ratings using machine-readable representation

Abstract

In a computer-implemented review method, a machine-readable representation that encodes an identification code associated with a ratable entity is decoded to obtain the identification code. The identification code is submitted to a central computer system, and a ratings form that can be used for providing a review of the ratable entity is received from the central computer system. A review of the ratable entity is provided to the central computer system using the review form.

Description

[0001] Cross References to Related Applications [0002] This application is a continuation of, and claims priority from, US Patent Application Serial No. 12 / 060,188, filed March 31, 2008. technical field [0003] This document deals with rating products or services using a machine-readable representation. Background technique [0004] Today, consumers face a dizzying array of choices when purchasing a product or service in the marketplace. In some cases, consumers may know in advance exactly what they want when they purchase a product or service, but in other cases, consumers may not know much about a given product or service subject area. In these situations, a consumer may want to seek outside advice on a potential product or service so that he / she can make an informed purchasing decision. However, when consumers are ready to purchase a product or service, they may not want to conduct excessive research activities, because time is a precious commodity, and doing extens...

AI Technical Summary

Problems solved by technology

However, even if the user has a strong feeling about the product or service purchase immediately after the purchase and expects to enter the ranking of the experience, but because other life needs attract the user's attention or because the memory of the experience is weakened with the lapse of time, the User may forget to enter rank at a later time

Also, the user may not have time to complete the ranking requirements later, or may decide that logging onto the Internet to find a ranking site and enter the ranking is too inconvenient to be worth the effort

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