Relationship And Credibility Based Experience Rating And Skill Discovery System

A method employing an experience rating and skill discovery system comprising at least one processor, said method comprising:

• reading profile data of opportunity seekers stored in a user profile list by said experience rating and skill discovery system;
• generating a skills profile list comprising skill profiles associated with said opportunity seekers, using stored profile data and skills selected by said opportunity seekers from a predefined skill list via a plurality of seeker devices;
• receiving an experience summary list comprising experience summary data elements in said skill profiles associated with said opportunity seekers with corresponding experience plausibility measures and corresponding experience credibility measures, by said experience rating and skill discovery system, from at least one database server;
• transmitting invitations to a plurality of reviewer devices for evaluating said experience summary data elements in said received experience summary list and said skills in said generated skills profile list, by said experience rating and skill discovery system;
• determining whether profile data of one or more reviewers with said transmitted invitations is available in said user profile list, by said experience rating and skill discovery system;
• configuring in a relationship list a reviewer plausibility measure corresponding to each of said experience summary data elements in said skill profiles associated with said opportunity seekers, by said experience rating and skill discovery system;
• collecting relationship data comprising information of relationships between each of said one or more reviewers and each of said opportunity seekers, and storing said collected relationship data in said relationship list, by said experience rating and
• skill discovery system;
• generating a ratings list, by said experience rating and skill discovery system, wherein ratings in said ratings list comprise a rating skill amount measure and a strength of belief measure for each of said skills, and configuring said rating skill amount measure and said strength of belief measure for each of said skills in said ratings list to NULL;
• receiving said reviewer plausibility measure corresponding to each of said experience summary data elements in said skill profiles of said opportunity seekers from said reviewer devices and updating in said relationship list said received reviewer plausibility measure corresponding to each of said experience summary data elements in said skill profiles of said opportunity seekers, by said experience rating and skill discovery system;
• receiving ratings provided by said each of said one or more reviewers from said reviewer devices on evaluating said skills associated with said experience summary data elements in said skill profiles associated with said opportunity seekers;
• receiving a reviewer credibility measure of said each of said experience summary data elements in said skill profiles associated with said opportunity seekers, and storing said reviewer credibility measure in said relationship list, by said experience rating and skill discovery system;
• receiving a rating credibility measure of said each of said skills, and storing said rating credibility measure in said ratings list, by said experience rating and skill discovery system;
• generating an aggregated experience plausibility measure and an aggregated experience credibility measure corresponding to said each of said experience summary data elements in said experience summary list, from said updated reviewer plausibility measure and said reviewer credibility measure respectively, by said experience rating and skill discovery system, corresponding to said each of said experience summary data elements associated with said relationship data stored in said relationship list;
• and
• generating an aggregated skill amount measure and an aggregated skill credibility measure corresponding to said each of said skills in said generated skills profile list, from said rating skill amount measure and said rating credibility measure respectively, by said experience rating and skill discovery system, corresponding to said each of said skills in said ratings list.

A non-transitory computer readable storage medium having embodied thereon, computer program codes comprising instructions executable by at least one processor, said computer program codes comprising:

• a first computer program code for reading profile data of opportunity seekers stored in a user profile list;
• a second computer program code for generating a skills profile list comprising skill profiles associated with said opportunity seekers using said profile data and skills selected by said opportunity seekers from a predefined skill list via a plurality of seeker devices, wherein said skill profiles associated with said opportunity seekers comprise skills associated with said opportunity seekers with corresponding skill amount measures and corresponding skill credibility measures indicating credibility of said skill amount measures;
• a third computer program code for receiving an experience summary list comprising experience summary data elements in said skill profiles associated with said opportunity seekers with corresponding experience plausibility measures and corresponding experience credibility measures, from at least one database server;
• a fourth computer program code for transmitting invitations to said reviewer devices for evaluating said experience summary data elements in said received experience summary list and said skills in said generated skills profile list;
• a fifth computer program code for determining whether profile data of each of one or more reviewers with said transmitted invitations is available in said user profile list;
• a sixth computer program code for configuring in a relationship list a reviewer plausibility measure corresponding to each of said experience summary data elements in said skill profiles of said opportunity seekers;
• a seventh computer program code for collecting relationship data comprising information of relationships between each of said one or more reviewers and each of said opportunity seekers and storing said collected relationship data in said relationship list;
• an eighth computer program code for generating a ratings list, wherein ratings in said ratings comprise a rating skill amount measure and a strength of belief measure for each of said skills, and configuring said rating skill amount measure and said strength of belief measure for each of said skills in said ratings list to NULL;
• a ninth computer program code for receiving said reviewer plausibility measure corresponding to each of said experience summary data elements in said skill profiles of said opportunity seekers from said reviewer devices and updating in said relationship list said received reviewer plausibility measure corresponding to each of said experience summary data elements in said skill profiles of said opportunity seekers;
• a tenth computer program code for receiving said ratings provided by said each of said one or more reviewers from said reviewer devices on evaluating said skills associated with said experience summary data elements in said skill profiles associated with said opportunity seekers, and updating said ratings list based on said ratings provided by said each of said one or more reviewers;
• an eleventh computer program code for receiving a reviewer credibility measure of said each of said experience summary data elements in said skill profiles associated with said opportunity seekers, from a credibility module of said external operational system, and storing said reviewer credibility measure in said relationship list;
• a twelfth computer program code for rating credibility measure of said each of said skills from said credibility module, and storing said rating credibility measure in said ratings list;
• a thirteenth computer program code for generating an aggregated experience plausibility measure and an aggregated experience credibility measure corresponding to said each of said experience summary data elements in said experience summary list, from said updated reviewer plausibility measure and said reviewer credibility measure respectively, corresponding to said each of said experience summary data elements associated with said relationship data stored in said relationship list;
• and
• a fourteenth computer program code for generating an aggregated skill amount measure and an aggregated skill credibility measure corresponding to said each of said skills in said generated skills profile list, using said rating skill amount measure and said rating credibility measure respectively, corresponding to said each of said skills in said ratings list.