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Method and System for Dynamically Providing Contextual Content to User for Producing a Write-up

IP.com Disclosure Number: IPCOM000197523D
Publication Date: 2010-Jul-13
Document File: 4 page(s) / 60K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a method and system for dynamically providing contextual content to user for producing a write-up. The contextual content is automatically retrieved from multiple sources based on context of the write-up and displayed to the user while the user is working on the write-up. Further, the method and system also provides suggestions for formatting the content.

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Method and System for Dynamically Providing Contextual Content to User for

Producing a Write-up

A method and system is disclosed for dynamically providing contextual content to user for producing a write-up. The contextual content is automatically retrieved from multiple sources based on context of the write-up and displayed to the user while the user is working on the write-up. Further, the method and system also provides suggestions for formatting the content.

Fig. 1 illustrates block diagram depicting an exemplary working of the system for dynamically providing contextual content and formatting suggestions to a user working on a write-up.

Figure 1

The system includes a recommendation generator module and an Interactive and

customizable recommendation display panel.

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In accordance with the method and system, when a user is working on a write-up on a topic, the recommendation generator module establishes a context based on a title of the write-up and/or user defined tags and categories for the write-up. In another embodiment, the recommendation generator module can also generate tags based on frequency and relevance of keywords used in the write-up.

Thereafter, the recommendation generator module searches through multiple sources for retrieving contextual information based on the context. The multiple sources may include social networks, microblogging sites, news sources, knowledge sources, multimedia sources, RSS feeds and personal organizer sources of the user.

The multiple sources are configurable by the user. The user may allow the recommendation generator module to use only certain resources and ignore others.

In an exemplary embodiment, when accessing social network and/or microblogging sites for retrieving content, the user's status updates on the social network and/or comments on microblogging sites and other relevant information on the user's social network posts may also be displayed to the user as contextual content. Similarly, photos from the user's web or desktop albums, and audio/video clips that the user may have uploaded on media sharing sites can be retrieved. Further, information related to events and to-do lists of the user stored in the personal organizer sources can be retrieved as contextual content.

Once the tags from the write-up matches with content from the multiple sources, the recommendation generator module assigns a score to each source based on its relevance. Accordingly, the most relevant sources are then fed by the recommendation generator module to the recommendation display panel. The user can customize the manner in which the content is displayed to the user. The content is displayed in a format that can be easily viewed, played and inserted by the user. As the user browses through the content recommended by the system, the user may accept or reject any of

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these reco...