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A Method and process for aggregating user-tagged data in a personalized fashion

IP.com Disclosure Number: IPCOM000172978D
Original Publication Date: 2008-Jul-23
Included in the Prior Art Database: 2008-Jul-23

Publishing Venue

IBM

Abstract

Tagging has become a popular way of organizing data from a variety of users. Programs exist to tag entities such as links, data, photos and even more. In order to find data tagged by a user in two different programs, a user must go to each application to get the entities tagged by that user (or to get a specific list of entities tagged the same thing in each program). In addition, oftentimes a user may want to find all the links tagged by the experts in a certain area. For instance, an IBMer using dog-ear may want to find all the links tagged AJAX by the Web Zero team. Currently, a user would need to search for each of the users who have links tagged AJAX. In addition, if someone were to tag links JavaScript, then a user might not find all the links. Tagging is free-form and users don't think alike when tagging. In addition, between a variety of users and a variety of sources, there are often multiple repeat links. Currently, a user must manually go through and sort through the tagged entities that might be of interest. This is a time-consuming process and prone to human oversight. This invention proposes an addition to current tagging applications. We propose a method to aggregate data tagged by a subset of users from a variety of tagging programs. Users can create lists of sites that should be aggregated and lists of trusted users. When a user needs to find entities all tagged the same thing, the invention aggregates the information from a selected list. Before displaying the results, the invention sorts through the results to present them in a way personalized for the user. Additionally, updates on new tags of interest would be autopropagated.