| 主权项 |
1. A computer processor implemented method to match recommendations to a user for an event, said method comprising:
receiving or collecting, by a network environment, one or more portions of user data, event data, or social data from users or third party data sources via said network; whereby the network environment comprises one or more servers connected to one or more user devices via a network; identifying, by said network environment, one or more portions of user data, event data, or social data from users or third party data sources via said network; determining recommendations by calculating a relevancy score of said user data, said social data, or said event data for users when one or more of said data points of user, social, or event data exceeds one or more thresholds; wherein said determining is based upon a significance analysis, by a computer processor implemented method, which ranks said user data, said event data, or said social data to be of interest to one or more users based on awareness of entities, activities, interests, desires, or location; wherein said calculated relevancy score is greater than a threshold and includes said user data, said social data or said event data; categorizing said recommendations by applying a relevancy popularity analysis thereby narrowing down most relevant data based upon interests, activities, experiences, people, deals, specials, desired matchups, advertisements, or recommendations which have previously elicited engagement; matching said identified said user data, social data, or said event data based at least on said relevancy score for each categorized recommendation; determining one or more recommendation results based at least on said relevancy score for each categorized recommendation; transmitting to said user the one or more recommendation results based at least on said relevancy score for each categorized recommendation by displaying matched identified said user data, social data, or said event data based on calculated recommendations. |
