Abstract: The disclosed systems and methods provide a novel framework for management of data provenance and/or safeguarding personal data involved in electronic transactions. The framework enables the tracking of metadata that can be collected at event time and/or joined with a database to capture User Consent Data, Geopolitical Location Data, and Publisher Data, inter alia, in a structured, extensible way. The framework can function to merge metadata, which can enable functionality for a compact representation despite data being collected from various disparate records. Aggregation can be performed on data from an individual record identifier for more efficient pre-filtering and/or can be applied directly across large data sets. The framework can provide Access Control Logic functions to respond to and answer queries related to the aggregated data, in particular, whether the data set may be used for a data processing purpose specified at query time.

Abstract: Methods and apparatuses for delivering advertisements with electronic content provided over a network and, more specifically, to techniques for selecting among advertisements that are competing for a slot associated with electronic content that is to be delivered over a network, are presented herein. Selecting among advertisements that are competing for a slot is based, at least in part, on an estimated latency for each advertisement. The estimated latency of an advertisement is a prediction of what latency will be experienced if the advertisement is served. The estimated latency may be used as one of the parameters for determining which competing advertisement to place in a slot, where advertisements that are associated with low estimated latencies are favored. For example, if all other parameters are equal, a selection mechanism selects advertisement X over advertisement Y, if the estimated latency for advertisement X is less than the estimated latency of advertisement Y.