Systems and methods relating to ad/content targeting for map route options based on personalization and user data

• US 10,077,988 B2
• Filed: 01/08/2013
• Issued: 09/18/2018
• Est. Priority Date: 01/08/2013
• Status: Expired due to Fees

• Current Assignee: R2 Solutions LLC (Acacia Research Corporation)
• Original Assignee: Excalibur IP, LLC (Acacia Research Corporation)
• Inventors: Kamdar, Gaurav
• Primary Examiner(s): Shaawat, Mussa A
• Assistant Examiner(s): Jha, Abdhesh K
• Application Number:
  US13/736,625
• Publication Number:
  US 20140195154A1
• Time in Patent Office: 2,079 Days
• Field of Search: 701533, 705 1458, 705319
• CPC Class Codes: G01C 21/3484 Personalized, e.g. from learned user behaviour or user-defined profiles
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute

Abstract

The present invention provides methods and systems for incorporating user information such as a user'"'"'s errands, tasks, and/or online behavior in determining a preferred route between an origin and a destination using a web map planning service. Potential advertisers can use the user information to target particular users who are traveling near a particular route to give users various options to optimize their travel plans.

Claims

1. A system comprising one or more processors and a non-transitory storage medium comprising program logic for execution by the one or more processors, the program logic comprising:

a mapping service programming module configured to;

receive a user-specified origin and a user-specified destination in a routing graph representing a network of roads of a Web-based mapping service including whether a user wishes to accomplish a certain number of tasks and errands while traveling from the user-specified origin and the user-specified destination;

determine a first travel route from the user-specified origin to the user-specified destination;

display the first travel route to the user within the routing graph; and

receive user-specified adjustments to user-selected parameters via user input to the routing graph including distance settings, travel time settings, and real time traffic condition settings in the routing graph of a Web-based mapping service;

a merchant display and selection programming module configured to;

identify one or more common trends of internet browsing associated with the user based on collected information derived at least from internet activity associated with the user, the internet activity including one or more internet tasks, checklists and errands of the user, and at least one previously performed third-party Web-based application activity associated with the user, the at least one previously performed third-party Web-based application activity including an activity by the user at a Web-based application of a preferred merchant proximate to the first travel route that the user has been determined to have previously selected and used;

determine a set of proximate and relevant merchants that are geographically proximate to the first travel route based at least in part to the distance settings and are determined to have relevance to the user based on at least the one or more identified common trends;

display, to the user, within the routing graph representing a network of roads in connection with the first travel route and together with the first travel route already displayed in the routing graph, the set of proximate and relevant merchants in the routing graph, the relevant merchant being selectable by the user in the routing graph and displayed between the origin and the destination and geographically proximate to the preferred route; and

allow subsequent user input to the routing graph including selection by the user intending to travel near the merchants of one or more merchants of the displayed set of proximate and relevant merchants by a user selection within the routing graph; and

a travel route customization programming module that, based at least in part on the selection, is configured to;

store for subsequent use and associated with a user identity related to the user, the first travel route along with the selected one or more merchants and a keyword;

determine a second travel route, based in part on the user-specified adjustments, from the user-specified origin to the user-specified destination, such that the selected one or more merchants are along the second travel route; and

display the second travel route to the user by updating the routing graph to display the second travel route including the selected one or more merchants displayed along the second travel route.

2. The system of claim 1, wherein the collected information includes information regarding online behavior of the user.

3. The system of claim 1, wherein the collected information includes information on historical Web browsing activity of the user.

4. The system of claim 1, wherein the collected information includes information on historical Web browsing activity of the user, and wherein determining the set of proximate and relevant merchants comprises:

based at least in part on the Web browsing activity of the user, determining one or more keywords; and

using the one or more keywords in determining the set of proximate and relevant merchants.

5. The system of claim 1, wherein the collected information includes information on social networking related activity of the user, information on purchases of the user, and information on errands of the user.

6. The system of claim 1, wherein the collected information includes information on social networking activity of users in a group of users to which the user belongs.

7. The system of claim 1, wherein the collected information includes information on social networking activity including ratings of the user and assessed sentiment of the user.

8. The system of claim 1, wherein the collected information includes information on social networking activity including ratings and assessed sentiment of users in a group of users to which the user belongs.

9. The system of claim 1, further comprising a merchant targeting programming module that allows a merchant, of the set of proximate and relevant merchants, to target the user with one or more content items or advertisements.

10. The system of claim 1, further comprising a merchant targeting programming module that allows a merchant, of the set of proximate and relevant merchants, to target the user with one or more content items or advertisements based at least in part on the collected information associated with the user.

11. The system of claim 1, further comprising a merchant targeting programming module that allows a merchant, of the set of proximate and relevant merchants, to target the user with one or more content items or advertisements based at least in part on the collected information associated with the user and on the merchant being along the second travel route.

12. The system of claim 1, wherein the first travel route and the second travel route are provided to the user on a portable electronic device of the user.

13. A method comprising:

receiving a user-specified origin and a user-specified destination in a routing graph representing a network of roads of a Web-based mapping service including whether a user wishes to accomplish a certain number of tasks and errands while traveling from the user-specified origin and the user-specified destination;

determining a first travel route from the user-specified origin to the user-specified destination;

displaying the first travel route to the user within the routing graph;

receiving user-specified adjustments to user-selected parameters via user input to the routing graph including distance settings, travel time settings, and real time traffic condition settings in the routing graph of a Web-based mapping service;

identifying one or more common trends of internet browsing associated with the user based on collected information derived at least from internet activity associated with the user, the internet activity including one or more internet tasks, checklists and errands of the user, and at least one previously performed third-party Web-based application activity associated with the user, the at least one previously performed third-party Web-based application activity including an activity by the user at a Web-based application of a preferred merchant proximate to the first travel route that the user has been determined to have previously selected and used;

determining a set of proximate and relevant merchants that are geographically proximate to the first travel route based at least in part to the distance settings and are determined to have relevance to the user based at least in part on the one or more identified common trends;

displaying, to the user, within the routing graph representing a network of roads in connection with the first travel route and together with the first travel route already displayed in the routing graph, the set of proximate and relevant merchants in the routing graph, the relevant merchant being selectable by the user in the routing graph and displayed between the origin and the destination and geographically proximate to the preferred route;

allowing subsequent user input to the routing graph including selection by the user of one or more merchants of the displayed set of proximate and relevant merchants, by a user selection within the routing graph;

storing for subsequent use and associated with a user identity related to the user, the first travel route along with the selected one or more merchants and a keyword;

based at least in part on the selection and the user-specified adjustments, determining a second travel route, from the user-specified origin to the user-specified destination, such that the selected one or more merchants are along the second travel route;

displaying the second travel route to the user by updating the routing graph to display the second travel route including the selected one or more merchants displayed along the second travel route; and

allowing a merchant, of the selected one or more merchants, to target the user intending to travel near the merchant with one or more content items or advertisements, based at least in part on the collected information associated with the user and on the merchant being along the second travel route.

14. The method of claim 13, wherein the collected information includes Web browsing activity of the user.

15. The method of claim 13, and wherein determining the set of proximate and relevant merchants comprises:

based at least in part on the Web browsing activity of the user, determining one or more keywords; and

using the one or more keywords in determining the set of proximate and relevant merchants.

16. The method of claim 13, wherein the collected information includes social networking related activity of the user, information on purchases of the user, and information on errands of the user.

17. The method of claim 13, wherein the collected information includes social networking activity of users in a group of users to which the user belongs.

18. The method of claim 13, wherein the collected information includes social networking activity including ratings and assessed sentiment of users in a group of users to which the user belongs.

19. A non-transitory computer readable storage medium or media tangibly storing computer program logic capable of being executed by a computer processor, the program logic comprising:

mapping service programming logic configured to;

receive a user-specified origin and a user-specified destination in a routing graph representing a network of roads of a Web-based mapping service including whether a user wishes to accomplish a certain number of tasks and errands while traveling from the user-specified origin and the user-specified destination;

determine a first travel route from the user-specified origin to the user-specified destination;

display the first travel route to the user within the routing graph; and

receive user-specified adjustments to user-selected parameters via user input to the routing graph including distance settings, travel time settings, and real time traffic condition settings in the routing graph of a Web-based mapping service;

merchant display and selection programming logic configured to;

identify one or more common trends of internet browsing associated with the user based on collected information derived at least from internet activity associated with the user, the internet activity including one or more internet tasks, checklists and errands of the user, and at least one previously performed third-party Web-based application activity associated with the user, the at least one previously performed third-party Web-based application activity including an activity by the user at a Web-based application of a preferred merchant proximate to the first travel route that the user has been determined to have previously selected and used;

determine a set of proximate and relevant merchants that are geographically proximate to the first travel route based at least in part to the distance settings and are determined to have relevance to the user based on at least the one or more identified common trends;

display, to the user, within the routing graph representing a network of roads in connection with the first travel route and together with the first travel route already displayed in the routing graph, the set of proximate and relevant merchants in the routing graph, the relevant merchant being selectable by the user in the routing graph and displayed between the origin and the destination and geographically proximate to the preferred route; and

allow subsequent user input to the routing graph including selection by the user intending to travel near the merchants of one or more merchants of the displayed set of proximate and relevant merchants by a user selection within the routing graph; and

travel route customization programming logic configured to;

store for subsequent use, the first travel route along with the selected one or more merchants and a keyword;

based at least in part on the selection and the user-specified adjustments, determine a second travel route, from the user-specified origin to the user-specified destination, such that the selected one or more merchants are along the second travel route; and

display the second travel route to the user by updating the routing graph to display the second travel route including the selected one or more merchants displayed along the second travel route.

20. The non-transitory computer readable storage medium or media of claim 19, further comprising:

merchant targeting programming logic that allows a merchant, of the selected one or more merchants, to target the user with one or more content items or advertisements, based at least in part on the collected information associated with the user and on the merchant being along the second travel route.