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Method to Map Dynamic Relevancy of Data Fragments in Collaborative Documents and Social Media Streams

IP.com Disclosure Number: IPCOM000246598D
Publication Date: 2016-Jun-20
Document File: 4 page(s) / 133K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a system that computes a metric to identify collaborative document fragments that are relevant to the user. This metric can identify several relevancy factors and the evolution of each over the life of a collaborative content stream, which allows the user to quickly locate relevant information.

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Method to Map Dynamic Relevancy of Data Fragments in Collaborative Documents and Social Media Streams

Reading long email threads with many correspondents and frequent updates is a time consuming process. Global business operates 24 hours each day, seven days a week, and users receiving messages from correspondents in other time zones or absent from a conversation for any period (minutes to days), must catch up on any missed updates to the thread. The user may need to identify any assigned action items or questions. The information relevant to the user may be interspersed amongst other updates, side conversations, and other possibly irrelevant details. Manually identifying the relevant and/or actionable items distracts the user's attention from other tasks.

The novel contribution is a system that computes a metric to identify collaborative document fragments that are relevant to the user. The metric is derived from a social map of the participants annotated with content preferences, participation roles, and organizational structure (from human resources (HR)). This metric can identify several relevancy factors and the evolution of each over the life of a collaborative content stream. By providing a metric mapped across the whole document, the system identifies relevant sub-sections that arise over the course of the collaboration. Basing the metric on evolving social interactions, roles, and associated content provides a more thorough and dynamic indication of relevancy.

Relevancy scenarios include:


• The focus of a stream drifts toward and away from the user's interests. An email

thread may start on one subject but evolve to other, possibly more or less relevant, topics. Keywords, people of interest, and associated roles and relationships may also affect the relevancy.


• An email escalates in priority due to the inclusion of managers or important

topics. This also includes situations when a user is originally added as a courtesy but is later asked to become more active in the collaboration.


• A participant is added late in the conversation and needs to de...