Method and system for qualitatively and quantitatively analyzing experiences for recommendation profiles

A method, comprising:

• initiating, by one or more computing devices, a user experience assessment with a user computer via a communications network, wherein the user experience assessment comprises one or more predetermined content consuming experiences;
• receiving, by the one or more computing devices, positive appraisal sensation data from the user computer, wherein the positive appraisal sensation data comprises user responses associated with the one or more predetermined content consuming experiences;
• using, by the one or more computing devices, one or more analysis algorithms in order to analyze the positive appraisal sensation data;
• determining, by the one or more computing devices, one or more positive appraisal categories corresponding to the positive appraisal sensation data, wherein the one or more positive appraisal categories are determined based on the analysis;
• ranking, by the one or more computing devices, each of the one or more positive appraisal categories based on a predetermined frequency for each of the one or more positive appraisal categories, wherein the one or more positive appraisal categories are arranged in a sequential order based on the ranking;
• generating, by the one or more computing devices, a recommendation profile associated with a user, wherein the recommendation profile comprises the one or more positive appraisal categories each associated with the ranking;
• determining, by the one or more computing devices, value-congruency between the recommendation profile and coded content based on at least a predetermined number of matches between the recommendation profile and the coded content or at least a predetermined fraction or threshold indicative of a required level of similarity between the recommendation profile and the coded content, wherein the coded content is based at least upon information retrieved from scanned text;
• generating, by the one or more computing devices, content recommendation information based on the determined value-congruency;
• and
• transmitting, by the one or more computing devices, an electronic message to the user via the communications network, wherein the electronic message comprises the content recommendation information.