Delivering personalized content based on geolocation information in a social graph with sharing activity of users of the open web
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
G06Q-030/02
G06F-017/30
G06Q-050/00
출원번호
US-0615779
(2017-06-06)
등록번호
US-9898763
(2018-02-20)
발명자
/ 주소
Vaynblat, Dimitri
Domain, Maxime
출원인 / 주소
R1Demand, LLC
대리인 / 주소
Aka Chan LLP
인용정보
피인용 횟수 :
0인용 특허 :
28
초록▼
A system receives geographic information from devices to determine and deliver relevant advertisements or personalized content for consumers. This ties a user's real-world location, with virtual leads (e.g., advertisements). The system uses geographical information gathered by mobile devices and sav
A system receives geographic information from devices to determine and deliver relevant advertisements or personalized content for consumers. This ties a user's real-world location, with virtual leads (e.g., advertisements). The system uses geographical information gathered by mobile devices and saves the geographical information to consumer profiles. For example, the system can use different wireless radios present on mobile devices to gather different types of geographical information. Some radios include cellular, Bluetooth, global positioning system (or GPS), Wi-Fi, near field communications (or NFC), and other radios.
대표청구항▼
1. A method comprising: receiving first activity information for a sender of a first link to at least one recipient collected by a collection resource at a Web site, wherein no personally identifiable information of the sender is collected in collecting the first activity information;storing the fir
1. A method comprising: receiving first activity information for a sender of a first link to at least one recipient collected by a collection resource at a Web site, wherein no personally identifiable information of the sender is collected in collecting the first activity information;storing the first activity information at a storage server;receiving second activity information when a recipient accesses the first link sent by the sender corresponding to the first activity information stored at the storage server, wherein no personally identifiable information of the recipient is collected in collecting the second activity information;using at least one processor, attempting to identify a first node representative of the sender in a social graph, wherein nodes in the social graph do not store personally identifiable information;when a first node representative of the sender in a social graph is not identified and after receiving the second activity information, creating a second node to represent the sender in the social graph;receiving a geofencing alert from a mobile device of a first user, wherein a geofencing software development kit is integrated in an application on the mobile device, and the geofencing alert is a result of the mobile device entering a geofence location;using at least one processor, based on the geofencing alert, attempting to identify a third node representative of the first user in a social graph, wherein no personally identifiable information of the first user is collected in the geofencing alert;when a third node representative of the first user in a social graph is not identified, creating a fourth node to represent the first user in the social graph;updating the fourth node in the social graph based on the geofencing alert received for the first user;receiving a bid request from a programmatic ad exchange;determining the bid request is associated with the fourth node in the social graph; andbased on at least information comprising the geofencing alert associated with the fourth node in the social graph, selecting a personalized digital content for a bid in response to the bid request, wherein the personalized digital content is personalized to the third node. 2. The method of claim 1 comprising: when a third node representative of the first user in a social graph is identified, updating the third node in the social graph based on the geofencing alert received for the first user;receiving a bid request from a programmatic ad exchange;determining the bid request is associated with the third node in the social graph; andbased on at least information comprising the geofencing alert associated with the third node in the social graph, selecting a personalized digital content for a bid in response to the bid request, wherein the personalized digital content is personalized to the third node. 3. The method of claim 1 wherein the attempting to identify a third node representative of the first user in a social graph comprises: when a cookie is included with the geofencing alert, extracting a user identifier from the cookie and attempting to identify a node in the social graph having the same user identifier. 4. The method of claim 1 wherein the attempting to identify a third node representative of the first user in a social graph comprises: when a cookie is not included with the geofencing alert, receiving at least one device fingerprinting attribute from the mobile device and using the at least one device fingerprinting attribute to identify a node match in the social graph. 5. The method of claim 4 wherein the using the at least one device fingerprinting attribute to identify a node match in the social graph comprises: inferring a relationship exists between the mobile device and another device if the two devices are often reported to be at a location or vicinity of the location during the same or similar time period. 6. The method of claim 4 wherein the at least one device fingerprinting attribute comprises at least one of a device identifier; IP address; operating system; browser type; browser version; or user navigational, geo-temporal, and behavioral pattern. 7. The method of claim 1 wherein the collection resource at a Web site used to collect first activity information comprises a sharing widget. 8. The method of claim 1 wherein the collection resource at a Web site used to collect first activity information comprises a uniform resource locator (URL) shortening. 9. The method of claim 1 wherein the collection resource at a Web site used to collect first activity information comprises an instant messenger application. 10. The method of claim 1 comprising: serving a personalized content to the first user based on a connectivity of the fourth node within the social graph, wherein the personalized content is personalized to the fourth node, which is representative of the first user. 11. The method of claim 1 comprising: serving a personalized content to the first user based on the geofence location that triggered the geofencing alert, wherein the personalized content is personalized to the first user for the geofence location. 12. The method of claim 1 wherein the serving a personalized content to the first user is via a push notification message to the mobile device. 13. The method of claim 1 wherein the geofencing alert from a mobile device of a first user is triggered while the mobile device is inactive. 14. The method of claim 1 wherein the geofencing alert from a mobile device of a first user is triggered while the application with the geofencing software development kit is closed. 15. The method of claim 1 comprising: receiving a bid request from a real-time bidding exchange;determining the bid request is associated with the fourth node in the social graph; andbased on at least information associated with the fourth node in the social graph, determining a personalized digital content for a bid in response to the bid request. 16. The method of claim 15 comprising: using the social graph, selecting a personalized digital content for delivery to the recipient, wherein the personalized digital content is personalized to the fourth node, which is representative of the first user. 17. The method of claim 1 wherein the updating the third node in the social graph based on the geofencing alert received for the first user comprises storing information comprising a geofencing category and time of geofencing crossing associated with the geofencing alert received for the first user with the third node. 18. The method of claim 17 comprising: serving a personalized content to the first user based on the information comprising a geofencing category and time of geofencing crossing associated with the geofencing alert. 19. The method of claim 18 wherein the personalized content is personalized to the first user for the geofence location and a time that the personalized content is served is within a predetermined time period after the geofencing alert. 20. The method of claim 19 wherein the personalized content is served to the first user before the first user exits the geofence location. 21. A method comprising: receiving first activity information for a sender of a first link to at least one recipient collected by a collection resource at a Web site, wherein no personally identifiable information of the sender is collected in collecting the first activity information;storing the first activity information at a storage server;receiving second activity information when a recipient accesses the first link sent by the sender corresponding to the first activity information stored at the storage server, wherein no personally identifiable information of the recipient is collected in collecting the second activity information;using at least one processor, attempting to identify a first node representative of the sender in a social graph, wherein nodes in the social graph do not store personally identifiable information;when a first node representative of the sender in a social graph is not identified and after receiving the second activity information, creating a second node to represent the sender in the social graph;receiving a geofencing alert from a mobile device of a first user, wherein a geofencing software development kit is integrated in an application on the mobile device, and the geofencing alert is a result of the mobile device entering a geofence location;using at least one processor, based on the geofencing alert, attempting to identify a third node representative of the first user in a social graph;when a third node representative of the first user in a social graph is identified, updating the third node in the social graph based on the geofencing alert received for the first user;determining a bid request is associated with the third node in the social graph; andbased on at least information comprising the geofencing alert associated with the third node in the social graph, selecting a personalized digital content for a bid in response to the bid request. 22. The method of claim 21 wherein the attempting to identify a third node representative of the first user in a social graph comprises: when a cookie is not included with the geofencing alert, receiving at least one device fingerprinting attribute from the mobile device and using the at least one device fingerprinting attribute to identify a node match in the social graph. 23. The method of claim 22 wherein the using the at least one device fingerprinting attribute to identify a node match in the social graph comprises: inferring a relationship exists between the mobile device and another device if the two devices are often reported to be at a location or vicinity of the location during the same or similar time period. 24. The method of claim 21 wherein the updating the third node in the social graph based on the geofencing alert received for the first user comprises storing information associated with the third node, the information comprising a geofencing category and time of geofencing crossing associated with the geofencing alert received for the first user. 25. The method of claim 24 wherein the personalized digital content is delivered to the first user while browsing on a Web browser, when the browsing occurs within a specified time period at the time of the geofencing crossing.
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이 특허에 인용된 특허 (28)
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Vaynblat, Dimitri; Chahal, Gurbaksh, Building a social graph using sharing activity of users of the open web by creating an edge representing category type.
Vaynblat, Dimitri; Chahal, Gurbaksh, Building a social graph using sharing activity of users of the open web by identifying nodes in the social graph and adjusting weights associated with edges.
Coffman, Thayne Richard, Enabling network intrusion detection by representing network activity in graphical form utilizing distributed data sensors to detect and transmit activity data.
Farnham, Shelly D.; Turski, Andrzej; Portnoy, William; Vronay, David P.; Cheng, Lili, Social mapping of contacts from computer communication information.
Caralis, Jim; Kogan, Nataly; Nakamura, Masumi; Mastroianni, Michael; Sundram, Jason, Systems and methods for generating location-based group recommendations.
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