Abstract: At a proxy outside a virtual machine which is hosting a game in a cloud, some embodiments select a network communication which represents a call from the game or the virtual machine. The proxy modifies a header of the call, or adds a new header, with a security token which is distinct from any user authentication token of a game player. A call receiver extracts the token and uses it in an attempt to discern an identity, such as a streaming provider identity. The call receiver performs a management action, and responds to the call, based on one or more of: the streaming provider identity or another result of the attempt, the particular call, or the presence of the security token. The management action manages a game streaming support item such as a licensing mechanism, an analytics mechanism, a game configuration, or a telemetry service.

Abstract: Systems and methods to reduce false positives in spam filtering. In one aspect, a method includes automatically generating profiles for persons identified in messages, such as incoming and outgoing e-mails. Messages flagged as spam can be checked against the profile to identify false positives.

Abstract: Systems and methods to reduce false positives in spam filtering. In one aspect, a method includes automatically generating profiles for persons identified in messages, such as incoming and outgoing emails. Messages flagged as spam can be checked against the profile to identify false positives.

Abstract: Techniques for multiuser application platform are described. Generally, a multiuser application allow interaction by multiple different users with a single executing instance of the application. Implementations include a multiuser operating system and a multiuser application programming interface that enable interaction by multiple users with an executing instance of a multiuser application.

Abstract: Systems and methods to reduce false positives in spam filtering. In one aspect, a method includes automatically generating profiles for persons identified in messages, such as incoming and outgoing e-mails. Messages flagged as spam can be checked against the profile to identify false positives.

Abstract: Systems and methods to reduce false positives in spam filtering. In one aspect, a method includes automatically generating profiles for persons identified in messages, such as incoming and outgoing e-mails. Messages flagged as spam can be checked against the profile to identify false positives.

Abstract: Techniques for multiuser application platform are described. Generally, a multiuser application allow interaction by multiple different users with a single executing instance of the application. Implementations include a multiuser operating system and a multiuser application programming interface that enable interaction by multiple users with an executing instance of a multiuser application.

Abstract: Systems and methods to provide assistance for completion during user input. In one embodiment, a method includes automatically generating profiles for persons identified in messages, such as incoming and outgoing emails. When a user is typing an input, the profiles are used to identify suggestions for the completion of the user input.

Abstract: Systems and methods to reduce false positives in spam filtering. In one aspect, a method includes automatically generating profiles for persons identified in messages, such as incoming and outgoing e-mails. Messages flagged as spam can be checked against the profile to identify false positives.

Abstract: Systems and methods to reduce false positives in spam filtering. In one aspect, a method includes automatically generating profiles for persons identified in messages, such as incoming and outgoing e-mails. Messages flagged as spam can be checked against the profile to identify false positives.

Abstract: Systems and methods to reduce false positives in spam filtering. In one aspect, a method includes automatically generating profiles for persons identified in messages, such as incoming and outgoing emails. Messages flagged as spam can be checked against the profile to identify false positives.

Abstract: Systems and methods to reduce false positives in spam filtering. In one aspect, a method includes automatically generating profiles for persons identified in messages, such as incoming and outgoing emails. Messages flagged as spam can be checked against the profile to identify false positives.

Abstract: A computer-implemented method includes: collecting first data from first computers on which first software is installed, the first data including first characteristics associated with the first computers and adoption results of the first software; correlating the first characteristics with the adoption results to generate a correlation result; prior to installation of the first software on a second computer, collecting second data associated with characteristics of the second computer; and making a determination whether to install the first software on the second computer based on at least the second data and the correlation result.

Abstract: Systems and methods to reduce false positives in spam filtering. In one aspect, a method includes automatically generating profiles for persons identified in messages, such as incoming and outgoing e-mails. Messages flagged as spam can be checked against the profile to identify false positives.

Abstract: Systems and methods to provide assistance for completion during user input. In one embodiment, a method includes automatically generating profiles for persons identified in messages, such as incoming and outgoing emails. When a user is typing an input, the profiles are used to identify suggestions for the completion of the user input.

Abstract: Systems and methods to provide assistance for completion during address input. In one embodiment, a method includes automatically generating profiles for persons identified in messages, such as incoming and outgoing emails. Based on how the addresses of the persons are used in incoming and outgoing messages, the relevancy scores of the addresses are determined. When a user is typing an address, the profiles and the relevancy scores are used to identify and sort suggestions for the completion of the address input.

Abstract: Systems and methods to provide assistance for completion during address input. In one embodiment, a method includes automatically generating profiles for persons identified in messages, such as incoming and outgoing emails. Based on how the addresses of the persons are used in incoming and outgoing messages, the relevancy scores of the addresses are determined. When a user is typing an address, the profiles and the relevancy scores are used to identify and sort suggestions for the completion of the address input.

Abstract: A computer-implemented method includes: collecting first data from first computers on which first software is installed, the first data including first characteristics associated with the first computers and adoption results of the first software; correlating the first characteristics with the adoption results to generate a correlation result; prior to installation of the first software on a second computer, collecting second data associated with characteristics of the second computer; and making a determination whether to install the first software on the second computer based on at least the second data and the correlation result.

Abstract: Systems and methods to provide assistance for completion during address input. In one aspect, a method includes automatically generating profiles for persons identified in messages, such as incoming and outgoing emails. Based on how the addresses of the persons are used in incoming and outgoing messages, the relevancy scores of the addresses are determined. When a user is typing an address, the profiles and the relevancy scores are used to identify and sort suggestions for the completion of the address input.

Abstract: Systems and methods to reduce false positives in spam filtering. In one aspect, a method includes automatically generating profiles for persons identified in messages, such as incoming and outgoing emails. Messages flagged as spam can be checked against the profile to identify false positives.