Microsoft Technology Licensing, LLC

Bita Gorjiara

Irina Belousova

Gururaj Seetharama

Luke Kopakowski

Xinruo Jing

Parag Chakraborty

Hao Liu

Kancheng Cao

Charles Ogden

William Robert Williams

Yizhen Zhao

Timothy Haydon Ward

Zhanwei Sun

Techniques for automatically generating targeting templates are provided. In one technique, multiple sets of targeting criteria provided by different content providers are identified. Based on the multiple sets of targeting criteria, multiple clusters of sets of targeting criteria are created. For each cluster, a targeting template is generated based on a set of targeting criteria that belong to that cluster. In another technique, multiple users are identified and for each user, a set of attribute-value pairs of that user is identified and added to a plurality of attribute-value pairs. Based on the plurality of attribute-value pairs, a targeting template that specifies targeting criteria is generated and presented for selection.

Automatically generating targeting templates for content providers

Techniques for avoiding race conditions in a content delivery system are provided. Multiple content delivery campaigns that are affected by at least one remapping in a set of remappings are identified. Each remapping in the set of remappings maps an old identifier to a new identifier that is different than the old identifier. For at least some of the plurality of content delivery campaigns, identification data that identifies the content delivery campaign is sent to a particular service. In response to the particular service receiving the identification data, the particular service retrieves targeting data associated with the content delivery campaign. The particular service applies a subset of the set of remappings to the targeting data to generate updated targeting data. The particular service causes the updated targeting data to be stored in association with the content delivery campaign.

Race condition avoidance in a multi-database environment

Techniques for detecting errors in a computing system are provided. In one technique, first member data that comprises first attribute values of a particular attribute is stored. Each attribute value in the first attribute values is associated with a different member of a first plurality of members. Second member data that comprises second attribute values of the particular attribute is stored. Each attribute value in the second attribute values is associated with a different member of a second plurality of members. For each attribute value of the first attribute values, a first number of instances of the attribute value in the first member data is determined, a second number of instances of the attribute value in the second member data is determined, and based on the first number and the second number, a determination of whether a notification indicating the particular attribute will be generated is made.

Error detection in computer systems generating multi-dimensional data

Techniques and a system are provided for a cache manager system. The cache manager system includes features allowing the content selection system to determine when to use information stored in a cache memory or when to request a refresh of profile information by executing a merge of information from two or more data sources.

Cache management in a composite data environment

Techniques and a system are provided for a profile manager system that stores multiple profiles. These profiles are used by a content selection system to match entities to content for which the entities would be best suitable. The profile manager system allows a content selection system to identify, in response to a request associated with an entity, different pieces of data from different data sources and match the different pieces of data when the difference pieces of data refer to the same entity. The profile manager system may also provide merging of the different pieces of data, when they are matched as referring to the same entity.

Scalable management of composite data collected with varied identifiers

A system, method, and computer product for monitoring and benchmarking client devices from a server. A server, data center, and/or cloud computing environment may monitor certain aspects of a remote desktop session. The rendering, capture, and compression of a desktop may be monitored. The time between the sending of frames to a thin client can be monitored, the network bandwidth available can be monitored and the time between sending a frame and receiving a response from the thin client can be monitored. Based on these values, a benchmark for the remote desktop experience can be determined.

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Sunnyvale, CA, United States of America

Bita Gorjiara