System and method for the automated notification of compatibility between real-time network participants
The present invention is a method and system for using predetermined preferences/characteristics to ascertain personal compatibility between network or chat room participants based upon profile information. When the system determines that these preferences are favorable for interpersonal compatibility, the system will automatically notify or page the participants so as to facilitate their introduction. Further functionality, aside from the compatibility based upon profile information, includes e-mail and other electronic notification of personal compatibility as well as geographic compatibility.
1. A method for automatically prompting compatible users of a network of their compatibility with at least another user, comprising:
collecting user specific data and preferences for a plurality of network users, including presenting to the users at least one on-line survey comprising a plurality of questions and detecting and recording the users' responses to the questions, wherein collecting user specific data includes accessing pre-existing data associated with a user, where the pre-existing data is available prior to initiation of collecting data for the user;
storing, in memory, at least a portion of the user specific data collected, including creating at least one data table within a database that includes data for a plurality of users, and within said table storing at least one record containing information indicative of the user's responses to the questions;
using compatibility criteria that includes at least one characteristic and a threshold, processing the stored user specific data to determine interpersonal compatibility between at least two network users, wherein processing includes applying the compatibility criteria to a plurality of records containing information indicative of the user responses in the data table to determine the interpersonal compatibility of the users;
sorting said user specific data, from a plurality of network users, by interpersonal compatibility; and
automatically prompting at least a portion of network users determined to have interpersonal compatibility and thereby indicating interpersonal compatibility between the users.
2. The method according to claim 1 , wherein the pre-existing data is publicly available.
3. The method according to claim 2 , wherein the data is exchanged with another database.
4. A method for determining compatibility of at least two participants of a network based upon predetermined criteria and notifying the compatible participants, comprising:
collecting human participant-specific data for a plurality of the participants, wherein collecting human participant specific data includes accessing pre-existing data associated with a participant, where the pre-existing data is available prior to initiation of collecting data for the participant;
storing, in memory, the human participant-specific data collected, including participant-specified preferences;
sorting said human participant-specific data from a plurality of participants by participant-specified preferences;
processing the stored human participant specific data, using at least the compatibility criteria and stored participant-specified preferences, to calculate interpersonal compatibility between at least two participants;
automatically determining the compatibility of at least two participants using the calculated interpersonal compatibility, including assessing whether the participants are available to meet in person, wherein the step of assessing whether the participants are available to meet in person includes monitoring the positions of the participants to determine whether the positions are in proximity to one another; and
notifying compatible participants of their compatibility, including sending each compatible participant a message.
5. The method according to claim 4 , wherein the pre-existing data is publicly available.
6. The method according to claim 5 , wherein the data is exchanged with another database.