Abstract: A system to implement an aerial security network utilizing unmanned aerial vehicles (“UAVs”) to provide security surveillance, suspicious activity/target detection and tracking, and deterrence actions for a protected area. The system includes one or more UAVs to capture images or videos of a protected area, a plurality of sensors to provide sensor information, one or more aerial security hubs (ASHs) to receive sensor information from the plurality of sensors, and an aerial security service to detect a suspicious activity in the protected area based on the sensor information. Upon detecting the suspicious activity by the aerial security service, one or more ASHs may instruct one or more UAVs to collect evidence of detected suspicious activity and/or perform defensive actions to deter the suspicious activity. One or more users may be notified of the suspicious activity, may receive a real-time view of the suspicious activity, and may remotely control the UAVs.

Abstract: Methods and systems are disclosed which allow shifting inventory to fulfill guaranteed delivery advertisement contracts. Inventory may be allocated from a supply of unallocated inventory to one or more advertisers in accordance with guaranteed delivery agreements. Inventory may be reserved for the one or more advertisers from the remaining supply of unallocated inventory. Inventory may then be allocated to an additional advertiser by using unallocated inventory or shifted inventory, or a combination of unallocated inventory and shifted inventory. The shifted inventory is shifted out of the allocation for the first advertiser and the shifted inventory is replaced by the reserve inventory for the respective advertiser.

Abstract: Methods and systems are disclosed which allow shifting inventory to fulfill guaranteed delivery advertisement contracts. Inventory may be allocated from a supply of unallocated inventory to one or more advertisers in accordance with guaranteed delivery agreements. Inventory may be reserved for the one or more advertisers from the remaining supply of unallocated inventory. Inventory may then be allocated to an additional advertiser by using unallocated inventory or shifted inventory, or a combination of unallocated inventory and shifted inventory. The shifted inventory is shifted out of the allocation for the first advertiser and the shifted inventory is replaced by the reserve inventory for the respective advertiser.

Abstract: A system and method for dynamic pricing in a guaranteed display market includes: receiving attribute parameters and values for an incoming pricing query for an advertisement; calculating a base price for the advertisement using recent historical information from contracts matching the attribute parameters; calculating a price response by adjusting the base price to reflect market conditions; calculating a non-guaranteed display opportunity cost for the adjusted base price; and calculating a final price as a function of the adjusted base price and the non-guaranteed display opportunity cost, with the non-guaranteed display opportunity cost as a lower bound for the price.

Abstract: Systems and methods for automatically forecasting the future availability of one or more resources, such as Internet advertising opportunities, are described herein. In accordance with various embodiments, a forecasting model that accounts for event-driven resource availability is trained based both on historical supply data and calendar information specifying events and event duration. The trained forecasting model is then used to forecast the availability of resources at one or more specified future time periods. In accordance with certain embodiments, the forecasting model comprises a Gaussian process model that has an event-driven kernel as a covariance function.

Abstract: A simulation framework for evaluating revenue that may use a pricing engine that runs at least one pricing algorithm with particular configurations and under particular model market conditions to provide revenue projections.

Abstract: A method for evaluating sell through rate in on-line guaranteed display advertising systems includes steps or acts of: receiving a set of eligible advertisement samples for a selected profile for a contract at different time durations; receiving an allocation plan representative of an allocation of future impressions of currently booked contracts; receiving eligible and available impressions for the selected profile at the specific time duration, using the set of eligible samples and the allocation plan; computing a historical sell through rate of the selected profile for the specific time duration as one minus a quotient of available impressions divided by eligible impressions; and computing a target sell through rate for a future time duration by applying the historical sell through rate to the future time duration.

Abstract: Techniques are described herein for using an impression-trend technique to provide a display advertising supply forecast. A display advertising supply forecast is an estimate of a number of impressions, which are to occur in a future time period, that have specified attribute values. For example, the specified attribute values may be descriptive of impressions with respect to which an advertiser wishes to place ads. An impression-trend technique is a forecasting technique that uses trends regarding past impressions to forecast a number of future impressions that have specified attribute values. The past impressions include attribute values that are related to the specified attribute values.

Abstract: Systems and methods for automatically forecasting the future availability of one or more resources, such as Internet advertising opportunities, are described herein. In accordance with various embodiments, a forecasting model that accounts for event-driven resource availability is trained based both on historical supply data and calendar information specifying events and event duration. The trained forecasting model is then used to forecast the availability of resources at one or more specified future time periods. In accordance with certain embodiments, the forecasting model comprises a Gaussian process model that has an event-driven kernel as a covariance function.

Abstract: A simulation framework for evaluating revenue that may use a pricing engine that runs at least one pricing algorithm with particular configurations and under particular model market conditions to provide revenue projections.

Abstract: A simulation framework for evaluating revenue that may use a pricing engine that runs at least one pricing algorithm with particular configurations and under particular model market conditions to provide revenue projections.

Abstract: Techniques are described herein for using an impression-trend technique to provide a display advertising supply forecast. A display advertising supply forecast is an estimate of a number of impressions, which are to occur in a future time period, that have specified attribute values. For example, the specified attribute values may be descriptive of impressions with respect to which an advertiser wishes to place ads. An impression-trend technique is a forecasting technique that uses trends regarding past impressions to forecast a number of future impressions that have specified attribute values. The past impressions include attribute values that are related to the specified attribute values.

Abstract: Systems and methods for adjusting online ads delivery pace derive, in a computer system, a current impression delivery for an ads display contract. A plurality of estimation bands are delivered corresponding to over delivery and under delivery for the ads display contract. A relative distance is determined between the current impression delivery and the plurality of estimation bands. An adjustment factor is selected according to the relative distance. The adjustment factor is sent to a database.

Abstract: Methods and systems are disclosed which allow shifting inventory to fulfill guaranteed delivery advertisement contracts. Inventory may be allocated from a supply of unallocated inventory to one or more advertisers in accordance with guaranteed delivery agreements. Inventory may be reserved for the one or more advertisers from the remaining supply of unallocated inventory. Inventory may then be allocated to an additional advertiser by using unallocated inventory or shifted inventory, or a combination of unallocated inventory and shifted inventory. The shifted inventory is shifted out of the allocation for the first advertiser and the shifted inventory is replaced by the reserve inventory for the respective advertiser.

Abstract: The present application provides systems and corresponding methods for creating a delivery allocation plan in a network-based environment. The methods may include receiving and storing advertising contracts and data related to the advertising contracts; constructing a bipartite graph based on the received contract data; annotating each demand node; and receiving impression data and other eligible contract data. Thereafter, the method may include for each impression, calculating a first supply value and for each contract, calculating a first demand value. The first demand value may be used to calculate a second supply value and a delivery allocation may be calculated using the second supply value and the second demand value for each contract.

Abstract: An improved system and method for forecasting an inventory of online advertisement impressions for targeting profiles of attributes is provided. An index of advertisement impressions on display advertising properties may be built for a targeting profile of attributes from forecasted impression pools. Impression pools of advertisements sharing the same attributes and trend forecast data for web pages and advertisement placements on the web pages may be integrated to generate the forecasted impression pools. An index of several index tables may be generated from forecasted impression pools. A query may be submitted to obtain an inventory forecast of advertisement impressions for targeting profiles of attributes and the index may be searched to match forecasted impression pools for the targeted profile of attributes. Then the inventory forecast of advertisement impressions on display advertising properties may be returned as query results for the targeting profile of attributes.

Abstract: Systems and methods for automatically forecasting the future availability of one or more resources, such as Internet advertising opportunities, are described herein. In accordance with various embodiments, a forecasting model that accounts for event-driven resource availability is trained based both on historical supply data and calendar information specifying events and event duration. The trained forecasting model is then used to forecast the availability of resources at one or more specified future time periods. In accordance with certain embodiments, the forecasting model comprises a Gaussian process model that has an event-driven kernel as a covariance function.

Abstract: Methods, systems, and apparatuses for generating supply forecasts for advertisement impressions are provided. Supply forecasts for future advertisement inventory are enabled to be determined that match attribute values received from a requester in a query or “contract.” Such supply forecasts may be determined based on cumulative or non-cumulative supply forecast values, and may be determined based on time series of supply forecast values for individual impressions or for blocks of impressions.

Abstract: Techniques are described herein for using an impression-trend technique to provide a display advertising supply forecast. A display advertising supply forecast is an estimate of a number of impressions, which are to occur in a future time period, that have specified attribute values. For example, the specified attribute values may be descriptive of impressions with respect to which an advertiser wishes to place ads. An impression-trend technique is a forecasting technique that uses trends regarding past impressions to forecast a number of future impressions that have specified attribute values. The past impressions include attribute values that are related to the specified attribute values.

Abstract: Disclosed is a system to forecast a supply of online advertising demand contracts having day parting targets. The system may receive an online advertising demand contract having a flight duration and a day parting target. The received online advertising demand contract may be processed by converting the day parting target into an hour-of-week day parting target vector. If a first day of the flight duration would generate a conflict in view of the hour-of-week day parting target vector, then the system may generate a new first day contract for the first day of the flight duration.