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Suggestive Content Alteration Towards Positive Sentiment

IP.com Disclosure Number: IPCOM000247483D
Publication Date: 2016-Sep-09
Document File: 2 page(s) / 21K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed are a method and system that can alter a user’s content (e.g., text, photographs, etc.) as it is posted in order to customize it for a specific recipient based on the recipient’s current desires, sentiments, and preferences.

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Suggestive Content Alteration Towards Positive Sentiment

With the exponential increase in online communication and collaboration, systems commonly have the capability to predict what content individuals should post. Existing techniques are available for computing sentiment to identify suggestive intent in social posts. However, the ability to alter the content being posted to achieve a desired effect for specific individuals does not exist.

A method and system are needed that can specifically determine and suggest the type of content (e.g., text, photographs, etc.) a user should show to a particular person in that user's network, so that each person in the network receives customized, relevant information from the user. Ideally, this could be based on a confidence ranking percentage of the recipient's projected interest at a given point.

The novel contribution is a method and system that can alter a user's content (e.g., text, photographs, etc.) as it is posted in order to customize it for a specific recipient based on the recipient's current desires, sentiments, and preferences. In addition, the proposed method and system aggregate content based on location and context to determine a confidence ranking that leads the system to further consolidate information for a particular person's needs/desires/etc. Further, the system considers the context from an aggregation of photographs and posts from shared contacts where the event locations are similar.

The core novelty is not in the determination of the individual's preferences, but rather the capability for an administrator or individual to upload multiple images and know that the system will dynamically alter the set based on the viewer/recipient/network contact at a given point.

For instance, a user has four friends who go to a concert at the same location and each of posts between 8-15 photos. Some of the photos are of the stage. The confidence ranking percentage considers similar context to aggregate comments/photos/posts in one entry in the user's social feed vs. having it separated and disbursed. Thus, the system bases this capability off location, tim...