Abstract: Methods and systems for selecting and displaying items includes causing the display of a large image of a selected item, a plurality of view icons indicative of different views of the selected item, and item details associated with a selected item. After the customer selects a view and/or color for the large image and mouses over the image, a zoom box appears and a corresponding magnified image window appears with a magnified image of the zoom box image for the selected view and color of the item.

Abstract: Systems and methods for managing content delivery functionalities based on machine learning models are provided. In one aspect, content requests are routed in accordance with clusters of historical content requests to optimize cache performance. In another aspect, content delivery strategies for responding to content requests are determined based on a model trained on data related to historical content requests. The model may also be used to determine above-the-fold configurations for rendering responses to content requests. In some embodiments, portions of the model can be executed on client computing devices.

Abstract: Methods and systems for selecting and displaying items includes causing the display of a large image of a selected item, a plurality of view icons indicative of different views of the selected item, and item details associated with a selected item. After the customer selects a view and/or color for the large image and mouses over the image, a zoom box appears and a corresponding magnified image window appears with a magnified image of the zoom box image for the selected view and color of the item.

Abstract: Systems and methods for managing content delivery functionalities based on machine learning models are provided. In one aspect, content requests are routed in accordance with clusters of historical content requests to optimize cache performance. In another aspect, content delivery strategies for responding to content requests are determined based on a model trained on data related to historical content requests. The model may also be used to determine above-the-fold configurations for rendering responses to content requests. In some embodiments, portions of the model can be executed on client computing devices.

Abstract: Systems and methods for managing content delivery functionalities based on machine learning models are provided. In one aspect, content requests are routed in accordance with clusters of historical content requests to optimize cache performance. In another aspect, content delivery strategies for responding to content requests are determined based on a model trained on data related to historical content requests. The model may also be used to determine above-the-fold configurations for rendering responses to content requests. In some embodiments, portions of the model can be executed on client computing devices.

Abstract: Disclosed are various embodiments for location based call routing to a subject matter specialist. A call request is obtained from a computing device. The call request pertains to a topic and includes a current location of the computing device. A topic specialist for the topic is identified based at least in part upon the current location of the computing device. The call request is completed by establishing a call between the computing device and a computing device used by the topic specialist.

Abstract: Systems and methods for managing content delivery functionalities based on machine learning models are provided. In one aspect, content requests are routed in accordance with clusters of historical content requests to optimize cache performance. In another aspect, content delivery strategies for responding to content requests are determined based on a model trained on data related to historical content requests. The model may also be used to determine above-the-fold configurations for rendering responses to content requests. In some embodiments, portions of the model can be executed on client computing devices.

Abstract: Systems and methods for managing content delivery functionalities based on machine learning models are provided. In one aspect, content requests are routed in accordance with clusters of historical content requests to optimize cache performance. In another aspect, content delivery strategies for responding to content requests are determined based on a model trained on data related to historical content requests. The model may also be used to determine above-the-fold configurations for rendering responses to content requests. In some embodiments, portions of the model can be executed on client computing devices.

Abstract: The present invention related to self-limiting filters, arrays of such filters, and methods thereof. In particular embodiments, the filters include a metal transition film (e.g., a VO2 film) capable of undergoing a phase transition that modifies the film's resistivity. Arrays of such filters could allow for band-selective interferer rejection, while permitting transmission of non-interferer signals.

Abstract: An acoustically coupled frequency selective radio frequency (RF) device is provided. The device includes a piezoelectric substrate overlain by a plurality of electrodes. The device further includes a pair of RF input terminals at least one of which is electrically connected to at least one of the electrodes, and a pair of output RF terminals, at least one of which is electrically connected to at least one other of the electrodes. At least one of the electrodes is electromechanically reconfigurable between a state in which it is closer to a face of the piezoelectric substrate and at least one state in which it is farther from the face of the piezoelectric substrate.