| 摘要 |
A method to search concrete positions based on abstract interests or vice versa is disclosed. Based on user's initial inputs of interests to positions mapping (PI Map), this method extends the map further with other users' similar one. Weights are associated to each interest to position connection in the map to represent preferences. Multiple layers in the map are interconnected to have different level of abstraction. A personal PI Map database is established based on these initial inputs, extension, weights and multiple layers. When user inquires specific interests with constrain and execution order, the method use the PI Map to find the optimal route to concrete positions. Based on the users' usage and final choice, the PI Map is dynamically adjusted through connections and associated weight. Further data analytics is conducted based on the aggregated PI Map from a group of users. |
| 主权项 |
1. A method to search concrete position based on abstract interest or vice versa comprises the steps of:
(1) Collect user initial inputs, personal interests and its corresponding positions in mind, to create an initial interest to position pairing, so as to have the aggregated parings form a map of interest to position map (PI Map); (2) Based on user's initial inputs, suggests other alternative connections to user's initial inputs, based on a group of users' shared PI Map database, which includes other users' personal PI Map; (3) User expends initial personal PI Map based on those suggestions by saving all or part of those suggestions into personal PI Map database; (4) User inputs an inquiry including multiple interests, constrains, priorities, execution order, logic relationship and other information from other devices such as GPS, the method suggests multiple solutions including corresponding positions with specific priority, and execution order to meet the compounded interests with constrains, based on personal PI Map database and minimum distance principle; (5) If the step (4) doesn't find the solutions which matches user's personal database, it searches a group of users' shared database to find the answer. (6) If the step (5) doesn't find the solutions, the method interacts with user to rewrite inquiry including dropping constrains, or to route user's interests to more abstract layer and finding alternative path to position from there; (7) If the step (6) doesn't find the solution, the method asks user manually inputs the positions as answer; (8) User selects his/her preferred solution from multiple solutions suggested by the method; (9) The method refines personal PI Map based upon user's selection and manual inputs in the step (8) by adding new positions corresponding to manual inputs and placing higher weight on the selected positions. (10) Share user's personal PI Map in a group of users' shared PI Maps database; (11) Data mining is conducted to find the commonality and correlation from statistics aspect, among a group of users' shared PI Maps database, its result is used to expend personal PI Map used in step (2) and (5); and, (12) Data mining result is used for business analytics to create other desirable positions to meet users' common interests found in step (11). |
