Abstract: Non-limiting examples of the present disclosure describe evaluation of log data of an application/service for the migration of user data to a data center in a geographic region of a user. Log data for the application/service is evaluated over a given time period on a per user basis. Evaluation of the log data comprises determining, for a user, one or more active days within the given time period. An active day comprises one or more call operations made to the application by the user. A primary geographic region of the user may be determined for the given time period based on analysis of the one or more active days of the log data. One or more data centers may be assigned for storage of user data based on the primary geographic region.

Abstract: A verified software system may be executable on secure hardware. Prior to being executed, the software system may be verified as conforming to a software specification. First credentials attesting to an identity of the software system may be sent to an external application. Second credentials signed by a provider of the secure hardware may be sent to the external application. The second credentials may attest to an identity of the secure hardware. The external application may securely exchange one or more messages with a software application of the software system. For example, the one or more messages may be decryptable only by the external application and the software application to provide confidentiality for each message. As another example, an attestation may vouch for an identity of a sender of each of the one or more messages to attest to an integrity of each message.

Abstract: Adaptive image retrieval image allows retrieval of images that are more likely to reflect a current trend of user preferences and/or interests, and therefore can provide relevant results to an image search. Adaptive image retrieval includes receiving image query log data from one or more clients, and updating a codebook of features based on the received query log data. The image query log data includes images that have been queried by the one or more clients within a predetermined period of time.

Abstract: Embodiments are disclosed that relate to buffering portions of a digital content item in different orders for different users. For example, one disclosed embodiment provides a method of providing a buffer ordering for a digital content item. The method includes tracking content access information for each user of a plurality of users, the content access information for each user comprising information regarding how content portions of each of one or more digital content items were accessed by the user. The method further comprises providing a different buffer ordering for a first user of a selected digital content item than for a second user based upon the content access information.

Abstract: An insight that a user desires to obtain from graphically presenting and manipulating a data set may be identified. A graphical object may be selected for representation and analysis of the data set based on whether the graphical object is capable of revealing the desired insight. The selection may be made based visual characteristic(s) of the graphical object and parameters, such as a type, of data in the data set. Different graphical objects may be selected to gain different insights about the data set. For example, a bar chart may be selected to gain an insight such as a trend in the data. The selected graphical object may be provided as a suggestion on a user interface for potentially using the graphical object to represent the data. A graphical object may include visually interactive components for use within a graphical user interface.

Abstract: A method of assessing risk in an electronic transaction involves assignment of quality attributes to cryptographic identities presented in a digital transaction. The quality assignment supports assessment of risk in the transaction. The evaluation of risk in the transaction is made by assessing machine readable attributes of the digital identities along with transaction details. The digital identity attributes may be constructed using extensions of existing standards. A guarantee against risk of loss may be obtained by procuring insurance on the transaction before execution. Third party insurers may analyze the risk of loss in a transaction by assessing the attributes of digital identities along with transaction details and may provide a requestor with an insurance premium quote. Based on the value of the quote, the transaction participants may decide whether or not to execute the transaction.