Abstract: Content personalized for a user is presented. Particularly, content is personalized and presented to a user in a more cognitive and user-understandable manner to improve the impact and the effectiveness on the user. The system utilizes artificial intelligence to analyze and categorize the content and thereby learns to discover the core concept of the content and any patterns involved. The system also understands the user's interests by capturing the preferred presentation formats and the user's past knowledge. The system maps the categorized content and user's interests and personalizes the content and renders into user preferred presentation type and format. The system supplements the main presentation type with additional related content. The system is capable of continuously monitoring the user activities to understand the effectiveness of the presented content type and formats, and feedback is exploited to continuous improvement of presented content and presentation type and formats.

Abstract: A method for calculating trust level of a user on social networking sites, comprising: consolidating information related to users operatively associated with at least a web based social platform; assigning weight to each of the consolidated information; computing aggregated score for at least an information; computing weighted average of the aggregated scores of the information; and calculating trust score based on the weighted average score. It further comprises assigning a trust level to the users based upon the trust. The method enables a user to create web of trust for social contacts or friends on the web based social platform wherein the web of trust comprises of most trusted friends, average trusted friends and least trusted friends.

Abstract: Content personalized for a user is presented. Particularly, content is personalized and presented to a user in a more cognitive and user-understandable manner to improve the impact and the effectiveness on the user. The system utilizes artificial intelligence to analyze and categorize the content and thereby learns to discover the core concept of the content and any patterns involved. The system also understands the user's interests by capturing the preferred presentation formats and the user's past knowledge. The system maps the categorized content and user's interests and personalizes the content and renders into user preferred presentation type and format. The system supplements the main presentation type with additional related content. The system is capable of continuously monitoring the user activities to understand the effectiveness of the presented content type and formats, and feedback is exploited to continuous improvement of presented content and presentation type and formats.

Abstract: A method for calculating trust level of a user on social networking sites, comprising: consolidating information related to users operatively associated with at least a web based social platform; assigning weight to each of the consolidated information; computing aggregated score for at least an information; computing weighted average of the aggregated scores of the information; and calculating trust score based on the weighted average score. It further comprises assigning a trust level to the users based upon the trust. The method enables a user to create web of trust for social contacts or friends on the web based social platform wherein the web of trust comprises of most trusted friends, average trusted friends and least trusted friends.