Research Systems and Methods for Integrating Query Data and Individual User Profile

• US 20160110810A1
• Filed: 10/16/2014
• Published: 04/21/2016
• Est. Priority Date: 10/16/2014
• Status: Abandoned Application

• Current Assignee: FMR LLC
• Original Assignee: FMR LLC
• Inventors: Ashok, Rohith Kottamangalam, Eriksen, Stein Erik, Vagwala, Srinivasa R., Mayor, Ramnik
• Application Number:
  US14/516,263
• Publication Number:
  US 20160110810A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/2457 with adaptation to user needs
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 40/06 Asset management; Financial planning or analysis
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04W 4/21 for social networking applications

Abstract

Systems and computerized methods are described for providing a research result tailored to user profile data of an account owner. A first server computing device generates a research request based on retrieved user profile data and user query data received from a client device, and transmits the research request to a second server computing device aggregating research data ingested from information sources. The first server computing device receives a research response from the second server computing device and analyzes the research response using a first predetermined metric threshold based on at least a confidence rating associated with each item of research data in the response, and a predetermined reliability rating of its associated information source. The first server computing device formats a research result including the items of research data that exceed the first predetermined metric threshold, and provides the research result to the client device.

Claims

1. A computerized method for providing a research result tailored to user profile data of an account owner, the method comprising:

receiving, by a first server computing device, user query data from a client device;

retrieving, by the first server computing device, user profile data associated with an account owner of one or more financial accounts;

generating, by the first server computing device, a research request based on the user profile data and the user query data;

transmitting, by the first server computing device, the research request to a second server computing device, the second server computing device aggregating research data ingested from a plurality of information sources;

receiving, by the first server computing device, a research response from the second server computing device, the research response including;

(i) a list of items of research data corresponding to the research request, and;

(ii) a confidence rating associated with each item of research data;

analyzing, by the first server computing device, the list of items of research data in the research response using a first predetermined metric threshold, the first predetermined metric threshold based on at least;

(i) the confidence rating associated with each item of research data; and

(ii) a predetermined reliability rating of the information source associated with each item of research data;

formatting, by the first server computing device, a research result including the items of research data that exceed the first predetermined metric threshold; and

providing, by the first server computing device, the research result to the client device.

2. The computerized method of claim 1 further comprising:

ingesting, by the second server computing device, research data from one or more real-time information sources.

3. The computerized method of claim 1 further comprising determining, by the first server computing device, a location of the client device based on one or more of global positioning system (GPS) coordinates provided by a mobile device, an internet protocol (IP) address of the client device, radiolocation information from a cellular network used by the client device, and physical location data obtained from a positioning system in communication with the client device.

4. The computerized method of claim 3 wherein generating the research request is further based on the location of the client device.

5. The computerized method of claim 4 wherein generating the research request is further based on one or more of a time of day the client device is at the location and a duration the client device remains at the location.

6. The computerized method of claim 1 further comprising:

assigning, by the first server computing device, a weight value to each item of research data included in the research result, the weight value calculated based on;

(i) an impact to an investment vehicle discussed in at least one of the items of research data, wherein an impact is predicted or realized, and wherein an impact is further an increase in a value, a decrease in a value, or a substantially unchanging value; and

(ii) a ratio of the value of the impacted investment vehicle in an investment portfolio owned by the account owner to the overall value of the investment portfolio owned by the account owner; and

sorting, by the first server computing device, the items of research data included in the research result based on the weight value.

7. The computerized method of claim 6 wherein formatting the research result further comprises sorting, by the first server computing device, the items of research data included in the research result based on the weight value.

8. The computerized method of claim 6 further comprising:

assigning, by the first server computing device, a second weight value to each item of research data included in the research result, the second weight value calculated based on one or more of;

(i) a publication date of the item of research data; and

(ii) a volume of items of research data included in the research response that discuss the same impacted investment vehicle;

9. The computerized method of claim 8 wherein formatting the research result further comprises sorting, by the first server computing device, the items of research data included in the research result based on one or more of the first weight value and the second weight value.

10. The computerized method of claim 1 further comprising:

analyzing, by the first server computing device, the list of items of research data using a second predetermined metric threshold, the second predetermined metric threshold based on at least;

(i) the confidence rating associated with each item of research data; and

(ii) the predetermined reliability rating of the information source associated with each item of research data;

supplementing, by the first server computing device, the research request based on the user profile data when the list of items of research data is between the first predetermined metric threshold and the second predetermined metric threshold;

transmitting, by the first server computing device, the supplemented research request to the second server computing device; and

receiving, by the first server computing device, a second research response from the second server computing device.

11. The computerized method of claim 1 wherein the user profile data comprises one or more of financial account position data, an investment goal, an area of interest, a customer service level, an investment type preference indication, and a risk tolerance.

12. The computerized method of claim 1 wherein the user profile data comprises a list of prior research requests associated with the account owner and a list of prior research responses associated with the account owner.

13. The computerized method of claim 1 wherein the plurality of information sources includes one or more of proprietary information, a financial news website, a general news website, a political news website, a social media website, a world news website, and an RSS server.

14. The computerized method of claim 13 wherein the proprietary information includes one or more of historical pricing data for one or more financial vehicles, a fund prospectus, a financial whitepaper, and a financial research opinion.

15. The computerized method of claim 1 wherein formatting the research result comprises:

generating a list of the items of research data that exceed the first predetermined metric threshold; and

generating a list of one or more ticker symbols for investment vehicles discussed in the items of research data that exceed the first predetermined metric threshold.

16. The computerized method of claim 15 wherein the research result comprises one or more of:

(i) a list of hyperlinks;

(ii) a digest of the items of research data that are above the first predetermined metric threshold; and

(iii) the confidence rating associated with each item of research data that exceeds the first predetermined metric threshold.

17. The computerized method of claim 1 further comprising:

spawning, by the first server computing device, a first thread configured to store the research request to a database; and

spawning, by the first server computing device, a second thread configured to transmit the research request to the second server computing device, receive the research response from the second server computing device, and store the research response received from the second server computing device to the database,

wherein the first thread and the second thread execute asynchronously.

18. The computerized method of claim 10 wherein supplementing further comprises:

formatting, by the first server computing device, a research result including an indication that additional user query data is needed;

transmitting, by the first server computing device, the research result to the client device;

receiving, by the first server computing device, additional user query data from the client device; and

integrating, by the first server computing device, the additional user query data with the user profile data.

19. The computerized method of claim 1 wherein the client device is a smartphone device, a personal computing device, a tablet computing device, a telephone, or a wearable communications and computing device.

20. The computerized method of claim 1 further comprising providing, by the first server computing device, the research result to a second client device.

21. The computerized method of claim 1 further comprising sanitizing, by the first server computing device, the user query data before generating the research request.

22. The computerized method of claim 21 wherein sanitizing comprises removing, by the first server computing device, from the user query data, one or more of a financial account number and personally identifiable information of the account owner.

23. The computerized method of claim 1 wherein generating further comprises processing, by the first server computing device, the user query data with a natural language processing engine.

24. A computerized method for providing a research alert tailored to user profile data of an account owner, the method comprising:

receiving, by a first server computing device, a research response including a plurality of items of research data from a second server computing device, the second server computing device aggregating research data from a plurality of real-time information sources;

determining, by the first server computing device, an impact to an investment vehicle discussed in one or more items of research data, wherein the impact is predicted or realized, and wherein the impact is further an increase in a value of the investment vehicle, a decrease in a value of the investment vehicle, or a substantially unchanging value of the investment vehicle;

retrieving, by the first server computing device, user profile data associated with an account owner of one or more financial accounts;

determining, by the first server computing device, an impact to a value of an investment portfolio owned by the account owner based on the impacted investment vehicle discussed in the one or more items of research data;

assigning, by the first server computing device, a weight value to each of the one or more items of research data discussing the impacted investment vehicle, the weight value being based on one or more of;

(i) a predetermined reliability rating of the information source associated with each of the one or more items of research data discussing the impacted investment vehicle; and

(ii) a ratio of the value of the impacted investment vehicle in the investment portfolio owned by the account owner to the overall value of the investment portfolio owned by the account owner;

formatting, by the first server computing device, a research alert including the one or more items of research data discussing the impacted investment vehicle having a weight value that exceeds a first predetermined metric threshold; and

providing, by the first server computing device, the research alert to the account owner.