Abstract: Techniques for generating matchups of sale and coupon are described. For example, deal data that pertains to a sale deal and a coupon deal is received. A sale brand identification and a coupon brand identification are identified based on the deal data. A first set of deal data including the sale brand identification and corresponding to the sale deal, and a second set of deal data including the coupon brand identification and corresponding to a coupon deal are determined based on the deal data. A matchup of the sale deal and the coupon deal is generated-based on matching the sale brand identification and the coupon brand identification, detecting a sale deal type in the first set of deal data and a coupon deal type in the second set of data, and determining that a sale deal's validity period and a coupon deal's validity periods overlap and have not expired.

Abstract: Techniques for generating matchups of sale and coupon are described. For example, deal data that pertains to a sale deal and a coupon deal is received. A sale brand identification and a coupon brand identification are identified based on the deal data. A first set of deal data including the sale brand identification and corresponding to the sale deal, and a second set of deal data including the coupon brand identification and corresponding to a coupon deal are determined based on the deal data. A matchup of the sale deal and the coupon deal is generated-based on matching the sale brand identification and the coupon brand identification, detecting a sale deal type in the first set of deal data and a coupon deal type in the second set of data, and determining that a sale deal's validity period and a coupon deal's validity periods overlap and have not expired.

Abstract: Techniques for implementing an interactive user interface for a personal circular based on transformed deal data are described. In response to a receiving of a query from a device of a user via an interactive user interface of a personal circular, the query specifying one or more keywords, or in response to a determination that an item has been included in a shopping list or favorites list of the user via the interactive user interface of the personal circular, a set of sale deals are identified that correspond to the one or more keywords or the item; a set of coupon deals are identified that correspond to the one or more keywords or the item; one or more visual representations of the one or more sale deals are caused to be displayed in a sale deals portion of the interactive graphical user interface for the personal circular; and one or more visual representations of the one or more coupon deals are caused to be displayed in a coupon deals portion of the interactive user interface of the personal circular.

Abstract: Techniques for implementing an interactive user interface for a personal circular based on transformed deal data are described. In response to a receiving of a query from a device of a user via an interactive user interface of a personal circular, the query specifying one or more keywords, or in response to a determination that an item has been included in a shopping list or favorites list of the user via the interactive user interface of the personal circular, a set of sale deals are identified that correspond to the one or more keywords or the item; a set of coupon deals are identified that correspond to the one or more keywords or the item; one or more visual representations of the one or more sale deals are caused to be displayed in a sale deals portion of the interactive graphical user interface for the personal circular; and one or more visual representations of the one or more coupon deals are caused to be displayed in a coupon deals portion of the interactive user interface of the personal circular.

Abstract: Techniques for generating matchups of sale and coupon deals are described. For example, deal data that pertains to a sale deal and a coupon deal is received. A sale brand identification and a coupon brand identification are identified based on the deal data. A first set of deal data including the sale brand identification and corresponding to the sale deal, and a second set of deal data including the coupon brand identification and corresponding to a coupon deal are determined based on the deal data. A matchup of the sale deal and the coupon deal is generated based on matching the sale brand identification and the coupon brand identification, detecting a sale deal type in the first set of deal data and a coupon deal type in the second set of data, and determining that a sale deal's and a coupon deal's validity periods overlap and have not expired.

Abstract: Techniques for generating matchups of sale and coupon deals are described. For example, deal data that pertains to a sale deal and a coupon deal is received. A sale brand identification and a coupon brand identification are identified based on the deal data. A first set of deal data including the sale brand identification and corresponding to the sale deal, and a second set of deal data including the coupon brand identification and corresponding to a coupon deal are determined based on the deal data. A matchup of the sale deal and the coupon deal is generated based on matching the sale brand identification and the coupon brand identification, detecting a sale deal type in the first set of deal data and a coupon deal type in the second set of data, and determining that a sale deal's and a coupon deal's validity periods overlap and have not expired.

Abstract: Techniques are disclosed which allow content publishers to segment and assign differential CPMs (cost per 1000 impressions) to their ad inventory depending on the source of that inventory, the person consuming the inventory and the weight of the relationship in runtime to the ad platform, i.e., based on the kind of user and his/her position within a social community. Content generated by more influential/popular users may have higher CPM ads associated with them.

Abstract: Techniques are described which allow users to control the nature of ads that are presented during a viewing session in real-time, i.e., depending on their current viewing situation. For example, users may dynamically specify certain preferences depending on their current viewing situation, such as “watching alone” or “with a child,” etc. Doing so allows consumers to make real-time selections of the nature and category of advertisements presented when consuming advertising-supported media content, e.g., when viewing media from video-streaming service using a set-top cable box or home theater PC.