Abstract: Disclosed are techniques to enable users to perform transactions such as purchasing items or receiving information regarding items depicted within a content stream, where the content stream may be received from a content provider and provided to an output device. Transactions may be performed by a user that may or may not be associated with a content provider or associated with an item offering service. In one example, a content stream may be analyzed to detect a depiction of an item, and a user may operate a user interface overlaid onto the displayed content stream to perform transactions such as initiating a purchase or requesting more information on the detected items.

Abstract: A lightweight throttling mechanism allows for dynamic control of access to resources in a distributed environment. Each request received by a server of a server group is parsed to determine tokens in the request, which are compared with designated rules to determine whether to process or reject the request based on usage data associated with an aspect of the request, the token values, and the rule(s) specified for the request. The receiving of each request can be broadcast to throttling components for each server such that the global state of the system is known to each server. The system then can monitor usage and dynamically throttle requests based on real time data in a distributed environment.

Abstract: A lightweight throttling mechanism allows for dynamic control of access to resources in a distributed environment. Each request received by a server of a server group is parsed to determine tokens in the request, which are compared with designated rules to determine whether to process or reject the request based on usage data associated with an aspect of the request, the token values, and the rule(s) specified for the request. The receiving of each request can be broadcast to throttling components for each server such that the global state of the system is known to each server. The system then can monitor usage and dynamically throttle requests based on real time data in a distributed environment.

Abstract: A lightweight throttling mechanism allows for dynamic control of access to resources in a distributed environment. Each request received by a server of a server group is parsed to determine tokens in the request, which are compared with designated rules to determine whether to process or reject the request based on usage data associated with an aspect of the request, the token values, and the rule(s) specified for the request. The receiving of each request can be broadcast to throttling components for each server such that the global state of the system is known to each server. The system then can monitor usage and dynamically throttle requests based on real time data in a distributed environment.

Abstract: Disclosed are techniques to enable users to perform transactions such as purchasing items or receiving information regarding items depicted within a content stream, where the content stream may be received from a content provider and provided to an output device. Transactions may be performed by a user that may or may not be associated with a content provider or associated with an item offering service. In one example, a content stream may be analyzed to detect a depiction of an item, and a user may operate a user interface overlaid onto the displayed content stream to perform transactions such as initiating a purchase or requesting more information on the detected items.

Abstract: Disclosed herein are techniques to enable users to purchase or receive information regarding items identified in a stream output by a content output device, regardless of whether the users are previously associated with the content output device or a device that monitors the stream. With these techniques, for instance, a user watching a video stream displayed on a television may see an advertisement for an item offered for purchase. In response, the user may choose to initiate a purchase of the item from an item offering service, to add the item to a shopping cart of the user at the item offering service, or to receive information regarding the item from the item offering service.

Abstract: A service is disclosed for enabling web sites and other entities to provide item recommendations and other behavior-based content to end users. The service can be implemented as a web service that is remotely accessible over the Internet. Web sites use the web service's interface to report events descriptive of item-related actions performed by end users (e.g., item views, item purchases, searches for items, etc.). The web service analyzes the reported event data on an aggregated basis to detect various types of associations between particular items, and stores resulting datasets that map items to associated items. The web service's interface also provides various API calls for enabling the web sites to request item recommendations and other behavior-based content, including but not limited to personalized recommendations that are based on the event history of the target user. Advantageously, the web sites need not host the infrastructure for providing such content.

Abstract: A service is disclosed for enabling web sites and other entities to provide item recommendations and other behavior-based content to end users. The service can be implemented as a web service that is remotely accessible over the Internet. Web sites use the web service's interface to report events descriptive of item-related actions performed by end users (e.g., item views, item purchases, searches for items, etc.). The web service analyzes the reported event data on an aggregated basis to detect various types of associations between particular items, and stores resulting datasets that map items to associated items. The web service's interface also provides various API calls for enabling the web sites to request item recommendations and other behavior-based content, including but not limited to personalized recommendations that are based on the event history of the target user. Advantageously, the web sites need not host the infrastructure for providing such content.

Abstract: A lightweight throttling mechanism allows for dynamic control of access to resources in a distributed environment. Each request received by a server of a server group is parsed to determine tokens in the request, which are compared with designated rules to determine whether to process or reject the request based on usage data associated with an aspect of the request, the token values, and the rule(s) specified for the request. The receiving of each request can be broadcast to throttling components for each server such that the global state of the system is known to each server. The system then can monitor usage and dynamically throttle requests based on real time data in a distributed environment.

Abstract: A service is disclosed for enabling web sites and other entities to provide item recommendations and other behavior-based content to end users. The service can be implemented as a web service that is remotely accessible over the Internet. Web sites use the web service's interface to report events descriptive of item-related actions performed by end users (e.g., item views, item purchases, searches for items, etc.). The web service analyzes the reported event data on an aggregated basis to detect various types of associations between particular items, and stores resulting datasets that map items to associated items. The web service's interface also provides various API calls for enabling the web sites to request item recommendations and other behavior-based content, including but not limited to personalized recommendations that are based on the event history of the target user. Advantageously, the web sites need not host the infrastructure for providing such content.

Abstract: A service is disclosed for enabling web sites and other entities to provide item recommendations and other behavior-based content to end users. The service can be implemented as a web service that is remotely accessible over the Internet. Web sites use the web service's interface to report events descriptive of item-related actions performed by end users (e.g., item views, item purchases, searches for items, etc.). The web service analyzes the reported event data on an aggregated basis to detect various types of associations between particular items, and stores resulting datasets that map items to associated items. The web service's interface also provides various API calls for enabling the web sites to request item recommendations and other behavior-based content, including but not limited to personalized recommendations that are based on the event history of the target user.

Abstract: A service is disclosed for enabling web sites and other entities to provide item recommendations and other behavior-based content to end users. The service can be implemented as a web service that is remotely accessible over the Internet. Web sites use the web service's interface to report events descriptive of item-related actions performed by end users (e.g., item views, item purchases, searches for items, etc.). The web service analyzes the reported event data on an aggregated basis to detect various types of associations between particular items, and stores resulting datasets that map items to associated items. The web service's interface also provides various API calls for enabling the web sites to request item recommendations and other behavior-based content, including but not limited to personalized recommendations that are based on the event history of the target user. Advantageously, the web sites need not host the infrastructure for providing such content.

Abstract: Disclosed herein are techniques to enable users to purchase or receive information regarding items identified in a stream output by a content output device, regardless of whether the users are previously associated with the content output device or a device that monitors the stream. With these techniques, for instance, a user watching a video stream displayed on a television may see an advertisement for an item offered for purchase. In response, the user may choose to initiate a purchase of the item from an item offering service, to add the item to a shopping cart of the user at the item offering service, or to receive information regarding the item from the item offering service.

Abstract: A service is disclosed for enabling web sites and other entities to provide item recommendations and other behavior-based content to end users. The service can be implemented as a web service that is remotely accessible over the Internet. Web sites use the web service's interface to report events descriptive of item-related actions performed by end users (e.g., item views, item purchases, searches for items, etc.). The web service analyzes the reported event data on an aggregated basis to detect various types of associations between particular items, and stores resulting datasets that map items to associated items. The web service's interface also provides various API calls for enabling the web sites to request item recommendations and other behavior-based content, including but not limited to personalized recommendations that are based on the event history of the target user. Advantageously, the web sites need not host the infrastructure for providing such content.

Abstract: A service is disclosed for enabling web sites and other entities to provide item recommendations and other behavior-based content to end users. The service can be implemented as a web service that is remotely accessible over the Internet. Web sites use the web service's interface to report events descriptive of item-related actions performed by end users (e.g., item views, item purchases, searches for items, etc.). The web service analyzes the reported event data on an aggregated basis to detect various types of associations between particular items, and stores resulting datasets that map items to associated items. The web service's interface also provides various API calls for enabling the web sites to request item recommendations and other behavior-based content, including but not limited to personalized recommendations that are based on the event history of the target user.

Abstract: A service is disclosed for enabling web sites and other entities to provide behavior-based content to end users. The service can be implemented as a web service that is remotely accessible over the Internet. Web sites use the web service's interface to report events descriptive of item-related actions performed by end users (e.g., item views, item purchases, searches for items, etc.). The web service analyzes the reported event data on an aggregated basis to detect various types of associations, including associations between particular search queries and items. The detected associations are recorded in site-specific datasets, and are made available to the corresponding sites via the service's interface.

Abstract: A service is disclosed for enabling web sites and other entities to provide item recommendations and other behavior-based content to end users. The service can be implemented as a web service that is remotely accessible over the Internet. Web sites use the web service's interface to report events descriptive of item-related actions performed by end users (e.g., item views, item purchases, searches for items, etc.). The web service analyzes the reported event data on an aggregated basis to detect various types of associations between particular items, and stores resulting datasets that map items to associated items. The web service's interface also provides various API calls for enabling the web sites to request item recommendations and other behavior-based content, including but not limited to personalized recommendations that are based on the event history of the target user. Advantageously, the web sites need not host the infrastructure for providing such content.

Abstract: A service is disclosed for enabling web sites and other entities to provide item recommendations and other behavior-based content to end users. The service can be implemented as a web service that is remotely accessible over the Internet. Web sites use the web service's interface to report events descriptive of item-related actions performed by end users (e.g., item views, item purchases, searches for items, etc.). The web service analyzes the reported event data on an aggregated basis to detect various types of associations between particular items, and stores resulting datasets that map items to associated items. The web service's interface also provides various API calls for enabling the web sites to request item recommendations and other behavior-based content, including but not limited to personalized recommendations that are based on the event history of the target user.

Abstract: A service is disclosed for enabling web sites and other entities to provide item recommendations and other behavior-based content to end users. The service can be implemented as a web service that is remotely accessible over the Internet. Web sites use the web service's interface to report events descriptive of item-related actions performed by end users (e.g., item views, item purchases, searches for items, etc.). The web service analyzes the reported event data on an aggregated basis to detect various types of associations between particular items, and stores resulting datasets that map items to associated items. The web service's interface also provides various API calls for enabling the web sites to request item recommendations and other behavior-based content, including but not limited to personalized recommendations that are based on the event history of the target user. Advantageously, the web sites need not host the infrastructure for providing such content.

Abstract: A service is disclosed for enabling web sites and other entities to provide item recommendations and other behavior-based content to end users. The service can be implemented as a web service that is remotely accessible over the Internet. Web sites use the web service's interface to report events descriptive of item-related actions performed by end users (e.g., item views, item purchases, searches for items, etc.). The web service analyzes the reported event data on an aggregated basis to detect various types of associations between particular items, and stores resulting datasets that map items to associated items. The web service's interface also provides various API calls for enabling the web sites to request item recommendations and other behavior-based content, including but not limited to personalized recommendations that are based on the event history of the target user. Advantageously, the web sites need not host the infrastructure for providing such content.