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System and Method to allow users to associate ratings or weights with tags in a tagging system

IP.com Disclosure Number: IPCOM000171805D
Original Publication Date: 2008-Jun-19
Included in the Prior Art Database: 2008-Jun-19
Document File: 3 page(s) / 73K

Publishing Venue

IBM

Abstract

In recent years, tagging systems have extended the traditional purposes of tagging internet resources such as Unified Resource Locators (URLs) and images to adding the capability for users to tag users according to a list of already created tags or newly formed tags by the user. The current expanded system does not provide any additional insights to measure the accuracy of the tabulated tag cloud since it is only by "how many users have tagged that person" or the frequency of tags. The user does not know of the assumed "range" or "expert level" of the tagged person by the tagee's. Essentially, how much confidence can a user put in to extracting meaningful data from the tag cloud based only on frequency of tags. This invention proposes to solve this problem by coupling a rating system to the tagging system to better formalize meaningful tag clouds. This invention proposes a system and method to allow users to associate ratings or weights to tags in a tagging system.

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System and Method to allow users to associate ratings or weights with tags in a tagging system

In recent years, tagging systems have extended the traditional purposes of tagging internet resources such as Unified Resource Locators (URLs) and images to adding the capability for users to tag users according to a list of already created tags or newly formed tags by the user. The current expanded system does not provide any additional insights to measure the accuracy of the tabulated tag cloud since it is only by "how many users have tagged that person" or the frequency of tags. The user does not know of the assumed "range" or "expert level" of the tagged person by the tagee's. Essentially, how much confidence can a user put in to extracting meaningful data from the tag cloud based only on frequency of tags. This invention proposes to solve this problem by coupling a rating system to the tagging system to better formalize meaningful tag clouds. This invention proposes a system and method to allow users to associate ratings or weights to tags in a tagging system.

Disclosed is a system and method to allow users to associate ratings or weights to tags in a tagging system. This method incorporates the perceived value of the subject knowledge of the "tags" a user can be tagged for with traditional tagging schemas to create a more valuable tagging system

Tagging systems have become increasingly popular. For example, systems allow users to add tags to internet resources such as URLs and images without relying on a controlled vocabulary. Now systems are extending this technology to also tagging people (within a profile repository) beyond just the capability to tag objects or items. Similar to traditional tagging systems, users can tag users according to a list of already created tags or newly formed tags by the user.

Tagging systems have been using this technology to form "experts" around a particular subject matter or tag. The more "tags" a particular user has for a tag item or topic area, the more the weight increases in the tabulated tag cloud on that topic area. Tag clouds commonly consist of two elements: a collection of linked tags shown in varying fonts and colors to indicate frequency of use or importance, and a title to indicate context.

In any situation, business or social, a user of the system does not have any additional insights to measure the accuracy of the tabulated tag cloud since it is only by "how many users have tagged that person" or the frequency of tags. The user does not know of the assumed "range" or "expert level" of the tagged person by the tagee's. Essentially, how much confidence can a user put in to extracting meaningful data from the tag cloud only based...