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Method and System for Providing Ratings for an Entity

IP.com Disclosure Number: IPCOM000195331D
Publication Date: 2010-Apr-29
Document File: 2 page(s) / 91K

Publishing Venue

The IP.com Prior Art Database

Related People

Pankaj Gulhane: INVENTOR

Abstract

A method and system for enabling a user to provide ratings for a given entity, such as a movie or an article is disclosed. The method and system enable the user to give ratings for the entity with less bias.

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Method and System for Providing Ratings for an Entity

Abstract

A method and system for enabling a user to provide ratings for a given entity, such as a movie or an article is disclosed.  The method and system enables the user to give a rating for the entity with less bias.

Description

Disclosed is the method and system for enabling a user to provide ratings for a given entity, such as a movie or an article. 

Typically, when a user gives a rating to an entity, such as a product or movie or news, the user’s rating gets affected by the popularity/existing rating of the entity. This effect is a consequence of informational effect which suggests that popularity/existing rating is interpreted as quality signal.  So, rating which is collected by sites such as Yahoo!* movies, is already biased because, while collecting ratings, sites display existing rating too.  This makes initial ratings count much more as compared to the rating which comes later in time because initial ratings has already biased future rating which it may receive. This initial rating may be genuine one or a manipulated one.

Thus, to reduce the bias in rating of an entity the method and system enables a user to compare a non-rated entity, such as a movie, with existing movies which have already been rated by that same user.  For example, consider if a user has already rated movie 'A' and 'B' and the user is now rating a new movie 'C'.  The ratings of movie 'A' and 'B' are shown to the user one after the other, and the user may be asked whether the movie 'C' is better than movie 'A' and 'B' respectively.  Based on this comparison, the user provides rating for movie 'C'.

The above example is shown in the Figure, wher...