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Method for Filtering Instant Messaging by Topic and Contextual Attributes

IP.com Disclosure Number: IPCOM000208899D
Publication Date: 2011-Jul-22
Document File: 4 page(s) / 67K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a method applied to content filtering which filters text messages based on topic and contextual attributes.

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Method for Filtering Instant Messaging by Topic and Contextual Attributes

At the core of network collaboration are technologies that support one-to-one, one-to-many, and many-to-many interactions often in the form of text based interactions: instant messaging, chat, chat rooms, and forums. Challenges arise in contexts where more than two people are participating and more than one topic of discussion is occurring at the same time. Users are left to read, filter, and combine threads of discussion to make sense of what can be a very complex set of content. The disclosed invention is in the domain of content filtering and specifically describes a method for filtering messaging based on topic and contextual attributes.

This invention discloses a method by which to filter multi-user, multi-threaded chats using topic and contextual attributes. As a multi-user, multi-threaded chat exists, content analytics begin to identify themes. These themes are presented in the user interface (UI) to act as filters. A user clicking on these filters can hide extraneous information from view, essentially collapsing the discussion to relevant passages. Moreover, users can create and tag content as being part of a specific topic resulting in a similar filtering interaction. Additionally, users can filter based on contextual attributes, such as: all users in the same time zone, in the same organization, in the same job family, in the same skill area, etc. Users are able to work with a dynamic set of context attributes and topics to limit the content view.

In the context of a suitable platform supporting multi-user messaging (Figure 1) two new capabilities are introduced: profile retrieval and content analysis. Alternative platforms may include forums, etc.
1. Profile retrieval: At appropriate times, such as the initialization of the multi-user messaging, user profiles are retrieved. Other appropriate times may include common events such as joining, leaving, or periodic intervals. User profiles may be a common directory based system or an aggregate of other profile systems su...