Abstract: This disclosure describes, in part, systems for enabling physical retail stores and other facilities to implement automated-checkout techniques for the purchase of customizable and/or made-to-items items by customers of the stores and/or facilities. For example, the described systems may enable a retail store to implement technology where users are able to order customizable items from an ordering location, an inventory location, or an associate of the facility, and exit the store without performing manual checkout of the items. The systems described herein thus enable customized retail facilities, as opposed to a retail facility that allows automated-checkout only for prepackaged-type or otherwise non-customizable merchandise.

Abstract: Features are disclosed for analyzing requests for network accessible content, including but not limited to web pages, to determine which topics and other characteristics are popular or are gaining in popularity (“trending”). Content items or sources may be profiled to determine characteristics that two or more content items or sources may have in common. Content requests from multiple client devices may be tracked and analyzed to determine the trending or popular characteristics. Data feeds or reports regarding the summarized content requests may be generated and distributed to content servers and other entities. The data feeds may be used to tailor content, such as by highlighting or featuring content associated with the most-requested content characteristics, or utilizing demographic data to tailor content for different users.

Abstract: Features are disclosed for analyzing requests for network accessible content, including but not limited to web pages, to determine which topics and other characteristics are popular or are gaining in popularity (“trending”). Content items or sources may be profiled to determine characteristics that two or more content items or sources may have in common. Content requests from multiple client devices may be tracked and analyzed to determine the trending or popular characteristics. Data feeds or reports regarding the summarized content requests may be generated and distributed to content servers, advertisers, and other entities. The data feeds may be used to tailor content, such as by highlighting or featuring content associated with the most-requested content characteristics, or utilizing demographic data to tailor content for different users.

Abstract: Features are disclosed for detecting meaningful updates to network accessible content, including but not limited to web pages. The portion or portions of content that are meaningful can be automatically determined based on a previously defined content profile, an analysis of user interactions with the content, algorithms and automated content analysis techniques, some combination thereof, or other techniques. Content can be monitored and determinations can be made regarding whether and to what extent the content has changed. Client devices or users thereof may be notified of detected meaningful content updates. Notifications can include updated portions of the content. The updated content may be displayed to the user on a client device, and visual treatments may be applied to the updated portions to draw the users' attention to the presence and substance of the updates.

Abstract: Features are disclosed for determining a sequence of content, including but not limited to web pages, that a user of a client device is likely to request or otherwise find interesting based on previous content requests (of that user and/or other users), and to making the sequence of content available for viewing on the client device. The identified pattern may later be used as a basis to prefetch the content, and to make the sequence of prefetched content available on the client device as a “suggested browsing session.” The suggested browsing session may include a sequence of content pages typically requested by the user, and/or may include linked pages and recommendations that the user is otherwise likely to find interesting.

Abstract: Methods and apparatus that enable appliance service instances to be provisioned in a subnet of a customer's private network on a service provider network without provisioning the backend nodes in the customer's subnet. At least one front-end node instance is provisioned in the customer's subnet. Instead of provisioning the backend nodes in the customer's subnet, the appliance service provider provisions the backend node instances in the appliance service provider's subnet. In addition, at least the front-end node instance may be provided with multiple interfaces. At least two of the interfaces face different subnets, with one facing the customer subnet and the other facing the backend subnet operated by the appliance service provider in which the backend node instances are implemented. In some implementations, a third interface may face a management subnet so that the owner of the front-end node instance may manage the instance.

Abstract: A connection-aggregation proxy service disclosed in various embodiments receives connection requests from a plurality of local initiating services, where the connection requests are not targeted at the connection-aggregation proxy service. The connection-aggregation proxy service establishes connections with the local initiating services, receives packets over those connections, and transmits the packets across the same connection when the packets are for the same external target. A local connection-aggregation proxy service in one example executes on the same physical computing device as the local initiating services. A gateway connection-aggregation proxy service in another example resides at a network edge between the local initiating services and the external target that the network local initiating services are requesting.

Abstract: Various features are disclosed for generating and presenting users with resource metadata regarding the usefulness or predicted usefulness of particular pages, sites, and/or other network resources. The metadata may be based partly or wholly on the monitored browsing behaviors of many users, including behaviors reflective of whether particular resources were useful to the users. The metadata may, in some cases, be personalized for particular users based, for example, on their browsing environments or contexts. For example, the metadata presented to a smartphone user regarding a particular link may reflect a determination of whether the target resource is well suited for display on smartphones generally or on the user's particular model of smartphone.

Abstract: Features are disclosed for detecting meaningful updates to network accessible content, including but not limited to web pages. The portion or portions of content that are meaningful can be automatically determined based on a previously defined content profile, an analysis of user interactions with the content, algorithms and automated content analysis techniques, some combination thereof, or other techniques. Content can be monitored and determinations can be made regarding whether and to what extent the content has changed. Client devices or users thereof may be notified of detected meaningful content updates. Notifications can include updated portions of the content. The updated content may be displayed to the user on a client device, and visual treatments may be applied to the updated portions to draw the users' attention to the presence and substance of the updates.

Abstract: Features are disclosed for detecting meaningful updates to network accessible content, including but not limited to web pages. The portion or portions of content that are meaningful can be automatically determined based on a previously defined content profile, an analysis of user interactions with the content, algorithms and automated content analysis techniques, some combination thereof, or other techniques. Content can be monitored and determinations can be made regarding whether and to what extent the content has changed. Client devices or users thereof may be notified of detected meaningful content updates. Notifications can include updated portions of the content. The updated content may be displayed to the user on a client device, and visual treatments may be applied to the updated portions to draw the users' attention to the presence and substance of the updates.

Abstract: An embodiment of the disclosed system provides the user of a computing device with information concerning the expected usefulness of an item, such as a hyperlink, within a network resource, such as a search result webpage, with the expected usefulness information based at least in part on an attribute of the user's computing device. For example, the system may provide the user with information identifying a particular website as poorly suited for the user's device, based on data that the system collected identifying an aggregate bounce-back rate from computing devices with a similar attribute to the user's computing device.

Abstract: Processes are disclosed for identifying site-specific or domain-specific URL parameters that are likely associated with personally identifiable information (PII). The processes involve analyzing the browsing session records of multiple users to assess, for a given site or domain, the uniqueness levels of particular URL parameters. These uniqueness levels, alone or in combination with other criteria, are used to determine whether each such parameter is likely associated with PII. The results of this analysis may be used to filter likely PII from session records, such as by modifying and/or deleting the URLs likely to contain PII.

Abstract: Systems and methods provide automated provisioning of load balancing. In one implementation, a computer-implemented method configures an access point. A request to create the access point may be received and data for the access point may be stored in a data store. The method may invoke a workflow engine. The workflow engine may assign the access point to a load balancer, configure the load balancer, assign a network address to the load balancer, and publish the network address for a plurality of clients.