Interactive computing advice facility with learning based on user feedback
In embodiments of the present invention improved capabilities are described for helping a user make a decision through the use of a computing facility, where the computing facility may be a machine learning facility. The process may begin with an initial question being received by the computing facility from the user. The user may then be provided with a dialogue consisting of questions from the computing facility and the answers provided by the user. The computing facility may then provide a decision to the user based on the dialog and pertaining to the initial question, such as a recommendation, a diagnosis, a conclusion, advice, and the like. In embodiments, future questions and decisions provided by the computing facility may be improved through feedback provided by the user. In embodiments, the present invention may be utilized in conjunction with a third-party application.
1. A computer program product embodied in a non- transitory computer readable medium that, when executing on one or more computers, provides a computing facility that helps a user make a decision by performing the steps of:
creating a profile for the user through a sequence of questions presented from the computing facility to the user during a registration process;
receiving an initial question at the computing facility from the user;
providing the user with a dialogue consisting of questions from the computing facility and answers provided by the user, wherein at least one of the questions from the computing facility is selected based upon the profile;
providing the decision to the user from the computing facility, wherein the decision is a single answer to the initial question from the user based on the dialogue, the profile and aggregated feedback from a plurality of users; and
receiving feedback from the user to improve the dialogue in subsequent interactions with the computing facility.
2. The computer program product of claim 1 , wherein the computing facility is a machine learning facility.
3. The computer program product of claim 1 , wherein the dialogue includes at least one of objective questions and subjective questions.
4. The computer program product of claim 1 , wherein the decision is further based on a combination of objective training from expert users and subjective training from a plurality of users.
5. The computer program product of claim 1 , wherein the decision is a recommendation.
6. The computer program product of claim 1 , wherein the initial question is associated with at least one of a product topic, personal topic, health topic, business topic, political topic, educational topic, entertainment topic, and environment topic.
7. The method of claim 1 wherein the feedback from the user includes at least one question for the dialogue provided by the user to assist the computing facility in arriving at the decision with fewer questions in a subsequent dialogue with another user.
8. The method of claim 7 further comprising code that performs the step of training the computing facility based upon a relationship between the decision and the at least one question provided by the user.
9. A method comprising the steps of:
creating a profile for a user through a sequence of questions presented from a machine learning facility to the user during a registration process;
receiving an initial question at the machine learning facility from the user; providing the user with a dialog consisting of questions from the machine learning facility and answers provided by the user, wherein at least one of the questions from the machine learning facility is selected based upon the profile;
providing the decision to the user from the machine learning facility, wherein the decision is a single answer to the initial question from the user based on the dialogue, the profile and aggregated feedback from a plurality of users; and
receiving feedback from the user to improve the dialog in subsequent interactions with the machine learning facility.
10. A server comprising a memory, a processor, and an interface to access devices through a network, wherein the processor is configured to perform the steps of:
creating a profile for a user through a sequence of questions presented from a machine learning facility to the user during a registration process;
receiving an initial question at the machine learning facility from the user; providing the user with a dialog consisting of questions from the machine learning facility and answers provided by the user, wherein at least one of the questions from the machine learning facility is selected based upon the profile;
providing the decision to the user from the machine learning facility, wherein the decision is a single answer to the initial question from the user based on the the dialogue, the profile and aggregated feedback from a plurality of users; and
receiving feedback from the user to improve the dialog in subsequent interactions with the machine learning facility.