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Method and System for Capturing Level of Intensity of Recommendations of a User on a Social Network

IP.com Disclosure Number: IPCOM000235582D
Publication Date: 2014-Mar-10
Document File: 1 page(s) / 32K

Publishing Venue

The IP.com Prior Art Database

Abstract

A method and system is disclosed for capturing level of intensity of recommendation of one or more of, but not limited to, a product, an item and a post by a user on a social network. The method and system includes providing an overall score of intensity of recommendation for a product, an item or a post.

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Method and System for Capturing Level of Intensity of Recommendations of a User on a Social Network

When users 'like' an item such as a blog post, tweet, picture, etc. the users individually affect overall popularity of the item. Each user gets to add only a single 'like' and the popularity is expressed as either likes count or as an average of overall ratings. This method of collecting user feedback on a blog post, tweet, picture is missing an important dimension i.e. intensity/degree of a single 'like'. In other

words, users do not have an option of easily expressing degree of like/dislike of the item. Each user's feedback is approached with the same weight. There is no metric to know whether User A likes an item more than User B does. As a result, it is not known if Item A is more likable than Item B when both have a same number of likes.

Disclosed is a method and system for capturing level of intensity of recommendation of one or more of, but not limited to, a product, an item and a post by a user on a social network. The method and system includes providing an overall score of intensity of recommendation for a product, an item or a post.

In accordance with the method and system, a control button is provided to a user

while providing recommendations for a product, an item or a post on social network. The control button enables a user to provide a positive or a negative feedback and a color coded icon to output overall feedback from all users. When the contro...