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Collaborative Spaces Drift Identification and Remediation

IP.com Disclosure Number: IPCOM000249999D
Publication Date: 2017-May-15
Document File: 2 page(s) / 122K

Publishing Venue

The IP.com Prior Art Database

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 52% of the total text.

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COLLABORATIVE SPACES DRIFT IDENTIFICATION AND REMEDIATION

ABSTRACT

Disclosed are a method and system for continuously analyzing the content/discussion in a collaborative space to determine topic deviation/drift from an original topic. If the system detects topic drift, then it promotes the prior/original topic when the deviation concludes.

Collaboration spaces (e.g., wikis, slack*, Toscana*, WebEx*, etc.), mail clients, and online social networks are mechanisms to connect people and information to accomplish goals and close business. These mechanisms allow people to share text in an unscripted and free-form manner. These free-forms enable many topics to be discussed among the people with access to the spaces. The drawback is that when multiple users engage in free-form text within collaboration spaces, it is easy to digress from the original topic and main intent of the conversation. This is referred to as topic drift.

A method is needed to improve the user experience within a collaboration space and eliminate or reduce topic drift.

The novel contribution is a method and system for continuously analyzing the content/discussion in a collaborative space to determine topic deviation/drift from an original topic. If the system detects topic drift, then it promotes the prior/original topic when the deviation concludes. The promotion of the prior topic may occur after a fixed period or during an ebb in the conversation. The determination of a topic drift may include a button in a meeting or in the chat to indicate drift.

The following embodiment represents the steps for implementation: 1. User B engages with User A in the development team's slack channel 2. User B sees User A and User D chatting about Topic Y 3. The system retrieves the messages from the channel (since the last time

retrieved). The system may work with any online social network or messaging system or collaborative space

4. When a new message is created, or about to be created, the system detects: A. Push event: content (each event) is...