Abstract: 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.

Abstract: A social graph is built which includes interactions, sharing activity, and connections between the users of the open Web and can be used to improve ad targeting and content personalization. Personally identifiable information is not collected. The sharing activity can include receiving first activity information for a sender of a message to a recipient by a collection resource at a Web site, the collection resource adding a link to the message, and receiving second activity information when the recipient accesses the link. The first or second activity information can include a cookie, which can be used to identify a node in a social graph as being representative of a particular person or user. When a match is not found, a fingerprinting approach can be performed using attributes, such as device identifiers: IP addresses; operating systems; browsers types; browser versions; or user navigational, geo-temporal, or behavioral patterns.

Abstract: 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.

Abstract: 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.

Abstract: A social graph is built which includes interactions, sharing activity, and connections between the users of the open Web and can be used to improve ad targeting and content personalization. Personally identifiable information is not collected. The sharing activity can include receiving first activity information for a sender of a message to a recipient by a collection resource at a Web site, the collection resource adding a link to the message, and receiving second activity information when the recipient accesses the link. The first or second activity information can include a cookie, which can be used to identify a node in a social graph as being representative of a particular person or user. When a match is not found, a fingerprinting approach can be performed using attributes, such as device identifiers; IP addresses; operating systems; browsers types; browser versions; or user navigational, geo-temporal, or behavioral patterns.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A social graph is built which includes interactions, sharing activity, and connections between the users of the open Web and can be used to improve ad targeting and content personalization. Personally identifiable information is not collected. Sharing activity between two users will affect ads or content that both users will be presented while surfing the Web. This sharing activity includes sending of links, sending of videos, sending of files, cutting and pasting of content, sending text messages, and sending of e-mails. Building of the social graph can include creating an edge in the social graph that is representative of a particular category type. Based on the social graph, personalized digital content can be selected.

Abstract: A social graph is built which includes interactions, sharing activity, and connections between the users of the open Web and can be used to improve ad targeting and content personalization. Personally identifiable information is not collected. Sharing activity between two users will affect ads or content that both users will be presented while surfing the Web. This sharing activity includes sending of links, sending of videos, sending of files, cutting and pasting of content, sending text messages, and sending of e-mails. For example, the sharing activity can include receiving first activity information for a sender of a message to a recipient by a collection resource at a Web site, the collection resource adding a link to the message, and receiving second activity information when the recipient accesses the link. Building of the social graph can include creating or updating an edge in the social graph that is representative of a particular category type.

Abstract: A social graph is built which includes interactions, sharing activity, and connections between the users of the open Web and can be used to improve ad targeting and content personalization. Personally identifiable information is not collected. Sharing activity between two users will affect ads or content that both users will be presented while surfing the Web. This sharing activity includes sending of links, sending of videos, sending of files, cutting and pasting of content, sending text messages, and sending of e-mails. Building of the social graph can include creating an edge in the social graph that is representative of a particular category type. Based on the social graph, personalized digital content can be selected.

Abstract: A social graph is built which includes interactions, sharing activity, and connections between the users of the open Web and can be used to improve ad targeting and content personalization. Sharing activity between two users will affect ads or content that both users will be presented while surfing the Web. This sharing activity includes sending of links, sending of videos, sending of files, cutting and pasting of content, sending text messages, and sending of e-mails. Interest of a node can be inferred based on edges between first-degree and second-degree nodes.

Abstract: A social graph is built which includes interactions, sharing activity, and connections between the users of the open Web and can be used to improve ad targeting and content personalization. Personally identifiable information is not collected. Sharing activity between two users will affect ads or content that both users will be presented while surfing the Web. This sharing activity includes sending of links, sending of videos, sending of files, cutting and pasting of content, sending text messages, and sending of e-mails. For example, the sharing activity can include receiving first activity information for a sender of a message to a recipient by a collection resource at a Web site, the collection resource adding a link to the message, and receiving second activity information when the recipient accesses the link. Building of the social graph can include creating or updating an edge in the social graph that is representative of a particular category type.

Abstract: A social graph is built which includes interactions, sharing activity, and connections between the users of the open Web and can be used to improve ad targeting and content personalization. Sharing activity between two users will affect ads or content that both users will be presented while surfing the Web. This sharing activity includes sending of links, sending of videos, sending of files, cutting and pasting of content, sending text messages, and sending of e-mails. Interest of a node can be inferred based on edges between first-degree and second-degree nodes.

Abstract: A social graph is built which includes interactions, sharing activity, and connections between the users of the open Web and can be used to improve ad targeting and content personalization. Sharing activity between two users will affect ads or content that both users will be presented while surfing the Web. This sharing activity includes sending of links, sending of videos, sending of files, cutting and pasting of content, sending text messages, and sending of e-mails. A technique can include a sender sending a first link to at least one recipient. When a first node representative of the sender in a social graph is not identified and after receiving the activity information, creating a second node to represent the sender in the social graph. The social graph can be updated based on a recency of the sharing activity.

Abstract: A social graph is built which includes interactions, sharing activity, and connections between the users of the open Web and can be used to improve ad targeting and content personalization. Sharing activity between two users will affect ads or content that both users will be presented while surfing the Web. This sharing activity includes sending of links, sending of videos, sending of files, cutting and pasting of content, sending text messages, and sending of e-mails. Building of the social graph can include creating an edge in the social graph that is representative of a particular category type. Based on the social graph, personalized digital content can be selected.

Abstract: A social graph is built which includes interactions, sharing activity, and connections between the users of the open Web and can be used to improve ad targeting and content personalization. Sharing activity between two users will affect ads or content that both users will be presented while surfing the Web. This sharing activity includes sending of links, sending of videos, sending of files, cutting and pasting of content, sending text messages, and sending of e-mails. For example, the sharing activity can include receiving first activity information for a sender of a message to a recipient by a collection resource at a Web site, the collection resource adding a link to the message, and receiving second activity information when the recipient accesses the link. Building of the social graph can include creating or updating an edge in the social graph that is representative of a particular category type.

Abstract: A social graph is built which includes interactions, sharing activity, and connections between the users of the open Web and can be used to improve ad targeting and content personalization. Sharing activity between two users will affect ads or content that both users will be presented while surfing the Web. This sharing activity includes sending of links, sending of videos, sending of files, cutting and pasting of content, sending text messages, and sending of e-mails. A technique can include a sender sending a first link to at least one recipient. When a first node representative of the sender in a social graph is not identified and after receiving the activity information, creating a second node to represent the sender in the social graph. The social graph can be updated based on a recency of the sharing activity.

Abstract: A social graph is built which includes interactions, sharing activity, and connections between the users of the open Web and can be used to improve ad targeting and content personalization. Sharing activity between two users will affect ads or content that both users will be presented while surfing the Web. This sharing activity includes sending of links, sending of videos, sending of files, cutting and pasting of content, sending text messages, and sending of e-mails. The system includes receiving activity information, identifying nodes in a social graph related to the activity information, and updating weights of edges based on the activity information.

Abstract: A social graph is built which includes interactions, sharing activity, and connections between the users of the open Web and can be used to improve ad targeting and content personalization. Sharing activity between two users will affect ads or content that both users will be presented while surfing the Web. This sharing activity includes sending of links, sending of videos, sending of files, cutting and pasting of content, sending text messages, and sending of e-mails. Building of the social graph can include creating an edge in the social graph that is representative of a particular category type. This includes identifying nodes in a social graph corresponding to sharing activity and adjusting weights associated with edges.