PROVIDING DYNAMIC AND PERSONALIZED RECOMMENDATIONS

• US 20180174058A1
• Filed: 04/24/2014
• Published: 06/21/2018
• Est. Priority Date: 04/24/2014
• Status: Abandoned Application

• Current Assignee: HCL Technologies Limited
• Original Assignee: HCL Technologies Limited
• Inventors: Vrati, Gaurav, Ghildyal, Nidhi, Yadav, Sanjay
• Application Number:
  US14/260,300
• Publication Number:
  US 20180174058A1
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/29 Geographical information databases
• CPC Class Codes: G06N 5/04 Inference or reasoning models
• CPC Class Codes: G06Q 30/0261 based on user location

Abstract

Providing dynamic and personalized recommendations. Disclosed herein is a method and system for providing dynamic and personalized recommendations to a user, when the user is driving; wherein the recommendations are based on at least one of social data, predictive analytics, vehicle location and vehicle speed.

Claims

1. A method for providing at least one recommendation to a user device of a user, wherein the recommendations are based on at least one of location of the user, the speed at which the user is driving, at least one gesture from the user and activity on at least one social network, the method comprising of

fetching data from the user device by a GIS (Geographic Information System) server, wherein the data comprises of location of the user;

speed of travel of the user; and

at least one gesture of the user;

perform predictive analysis by the GIS server based on the fetched data; and

activity on the at least one social network, wherein the activity comprises of activity of the user on at least one social network, activity of social circle of the user on at least one social network;

activity of at least one user with a profile similar to the user on at least one social network; and

activity of at least one user in vicinity of the user on at least one social network;

perform data scoring by the GIS server on the predicted analysis;

predict propensity of the user to act in furtherance of the at least one recommendation by the GIS server; and

provide at least one recommendation to the user by the GIS server based on the predicted propensity of the user to act in furtherance of the at least one recommendation.

2. The method, as claimed in claim 1, wherein the at least one recommendation is at least one of at least one of an advertisement;

and at least one Point of Interest (PoI).

3. The method, as claimed in claim 1, wherein the method further comprises of authenticating the user by the GIS server, before providing the at least one recommendation to the user.

4. The method, as claimed in claim 1, wherein the method further comprises of monitoring a response to the at least one recommendation from the user by the GIS user.

5. A system comprising of a GIS (Geographic Information System) server, wherein said GIS server is configured for providing at least one recommendation to a user device of a user, wherein the recommendations are based on at least one of location of the user, the speed at which the user is driving, at least one gesture from the user and activity on at least one social network, the GIS server configured to

fetch data from the user device, wherein the data comprises of location of the user;

speed of travel of the user; and

at least one gesture of the user;

perform predictive analysis based on the fetched data; and

activity on the at least one social network, wherein the activity comprises of activity of the user on at least one social network, activity of social circle of the user on at least one social network;

activity of at least one user with a profile similar to the user on at least one social network; and

activity of at least one user in vicinity of the user on at least one social network;

perform data scoring on the predicted analysis;

predict propensity of the user to act in furtherance of the at least one recommendation; and

provide at least one recommendation to the user based on the predicted propensity of the user to act in furtherance of the at least one recommendation.

6. The system, as claimed in claim 5, wherein the at least one recommendation is at least one of at least one of an advertisement;

and at least one Point of Interest (PoI).

7. The system, as claimed in claim 5, wherein the GIS server is further configured for authenticating the user, before providing the at least one recommendation to the user.

8. The system, as claimed in claim 5, wherein the GIS server is further configured for monitoring a response to the at least one recommendation from the user by the GIS user.