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

Patent metadata

Field	Value
Publication number	US-2016110810-A1
Application number	US-201414516263-A
Country	US
Kind code	A1
Filing date	Oct 16, 2014
Priority date	Oct 16, 2014
Publication date	Apr 21, 2016
Grant date	—

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.

First claim

What is claimed is:

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

Assignees

• Fmr Llc

Inventors

• Ashok Rohith Kottamangalam
• Eriksen Stein Erik
• Vagwala Srinivasa R
• Mayor Ramnik

Classifications

• G06F17/3053

  Physics · mapped topic

• G06Q40/06 Primary

  Asset management; Financial planning or analysis · CPC title

• G06F17/30867

  Physics · mapped topic

• H04L67/10

  in which an application is distributed across nodes in the network (software deployment G06F8/60; multiprogramming arrangements G06F9/46) · CPC title

• G06F16/2457

  with adaptation to user needs · CPC title