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System and Method for Rendering Documentation Content to Annotate Derived User Interest Areas

IP.com Disclosure Number: IPCOM000254252D
Publication Date: 2018-Jun-14
Document File: 5 page(s) / 258K

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The IP.com Prior Art Database

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System and Method for Rendering Documentation Content to Annotate Derived User Interest Areas

Disclosed is a method and system for rendering documentation to a user based on the user’s interest areas in particular content. The method and system derives a user’s interest level in content through analysis of a reading history corpus, products/services used by the user, and product/services usage as it relates to the user’s job role. Subsequently, the method and system renders content to annotate derived interest areas present in the content, drawing attention to areas of most interest to the user, and moving attention away from content derived to be least relevant. Figure 1 illustrates the method steps for rendering documentation to a user based on the user’s interest areas in particular content.

Figure 1

As shown, a tracking module analyzes content consumed to derive reading history corpus.

 A user reads various forms of documentation such as Knowledge Centers, Redbooks, white papers, articles, blogs, and web pages (205).

 The Tracking Module (210) monitors this content consumption across various devices (for example a user may consume content on a work laptop, a mobile device, and a personal desktop). The Tracking Module keeps tabs on content consumption through various methods including:

o Content viewing history – A history of which web pages have been opened, which page in a PDF has been viewed, and tracks time spent consuming this content.

o Eye tracking – If supported by the device rendering the content, a front- facing camera can monitor the user’s attention to a given piece of content and which portions of content they are reading. Alternatively eye tracking can be performed by smart glasses if worn by the user.

o User interaction – The way a user interacts with content such as expanding and collapsing sections, highlighting sections, and so forth can indicate a user’s interest in a given section of content.

 The Tracking Module analyzes content viewing history, eye tracking, and user interaction to derive a user’s reading history. This is stored in a Reading History corpus (215) as shown in Figure 2.

Figure 2

Moving on, the method and system derives user interest areas as shown in Figure 3.

Figure 3

An Interest Area Analysis Module (320) receives the following as input:

o Reading History corpus (305) – The reading history captured in the previous stage including what was read, time spent reading, and attention paid to the content.

o Products/services versioning (310) – The specific version levels and services levels applied to the products/services used by a given user. For example the system records that the user is currently administering a CICS TS V5.4.0 region with specific service levels applies. The system can also record version information for cloud services, and so f...