A system includes a content extraction engine comprising at least one processor and configured to receive a content page for a target product including product data for the target product and noise content unrelated to the target product, identify noise content pertaining to data unrelated to the target product, remove noise content from the content page, thereby generating a remainder content page containing target product data usable to enable product comparison between multiple sources.

A system includes a content extraction engine comprising at least one processor and configured to receive a content page for a target product including product data for the target product and noise content unrelated to the target product, identify noise content pertaining to data unrelated to the target product, remove noise content from the content page, thereby generating a remainder content page containing target product data usable to enable product comparison between multiple sources.

Certain exemplary embodiments relate to entertainment systems and, more particularly, to systems that incorporate digital downloading jukebox features and improved user interfaces. For instance, a smart search may be provided, e.g., where search results vary based on the popularity of songs within the venue, in dependence on songs being promoted, etc. As another example, a tile-based approach to organizing groupings of songs is provided. Groupings may involve self-populating collections of songs that combine centrally-promoted songs, songs in a given genre that are popular across an audiovisual distribution network, and songs that are locally popular and match up with the given genre (e.g., because of shared attributes such as same or similar genre, artist, etc.). Different tile visual presentations also are contemplated, as are different physical jukebox designs. In certain example embodiments, a sealed core unit with the “brains” of the jukebox is insertable into a docking station.

Certain exemplary embodiments relate to entertainment systems and, more particularly, to systems that incorporate digital downloading jukebox features and improved user interfaces. For instance, a smart search may be provided, e.g., where search results vary based on the popularity of songs within the venue, in dependence on songs being promoted, etc. As another example, a tile-based approach to organizing groupings of songs is provided. Groupings may involve self-populating collections of songs that combine centrally-promoted songs, songs in a given genre that are popular across an audiovisual distribution network, and songs that are locally popular and match up with the given genre (e.g., because of shared attributes such as same or similar genre, artist, etc.). Different tile visual presentations also are contemplated, as are different physical jukebox designs. In certain example embodiments, a sealed core unit with the “brains” of the jukebox is insertable into a docking station.

This disclosure relates to a display method, apparatus, and computer-readable storage medium, and relates to the field of computer technologies. The display method of this disclosure includes: in response to a user selecting an object to be displayed, acquiring data of the object to be displayed; and according to the data of the object to be displayed, displaying the object to be displayed through a page newly added in an application, and simultaneously displaying an original page of the application in a perspective manner, wherein at least one of the newly added page or the original page is configured to be in a corresponding preset transparency, so that the object to be displayed and the original page are displayed simultaneously.

A method described herein includes receiving a digital image, wherein the digital image includes a first element that corresponds to a first domain and a second element that corresponds to a second domain. The method also includes automatically assigning a label to the first element in the digital image based at least in part upon a computed probability that the label corresponds to the first element, wherein the probability is computed through utilization of a first model that is configured to infer labels for elements in the first domain and a second model that is configured to infer labels for elements in the second domain. The first model receives data that identifies learned relationships between elements in the first domain and elements in the second domain, and the probability is computed by the first model based at least in part upon the learned relationships.

A method described herein includes receiving a digital image, wherein the digital image includes a first element that corresponds to a first domain and a second element that corresponds to a second domain. The method also includes automatically assigning a label to the first element in the digital image based at least in part upon a computed probability that the label corresponds to the first element, wherein the probability is computed through utilization of a first model that is configured to infer labels for elements in the first domain and a second model that is configured to infer labels for elements in the second domain. The first model receives data that identifies learned relationships between elements in the first domain and elements in the second domain, and the probability is computed by the first model based at least in part upon the learned relationships.

An electronic presentation system comprising: one or more computer processors operatively coupled to one or more computer memories storing a set of instructions for configuring the one or more computer processors to perform operations comprising: causing display of a motion picture image sequence (MPIS) captured at a first computing device, within display screens at multiple computing devices; causing display of first multiple content items, on the display screens of the multiple computing devices, separate from the MPIS; and based at least in part upon receiving at the presentation management system from the first computing device, first relocation information indicating a first content item, causing relocation of display of the of the first content item, to within the MPIS displayed at the multiple computing devices.

A system for classifying tasks based on workflow patterns detected on workflows through a real time video feed that shows steps being performed to accomplish a plurality of tasks. Each task is associated with a different set of steps. The system accesses a first set of steps known to be performed to accomplish a first task on the webpages. The first set of steps is represented by a first set of metadata. The system extracts a second set of metadata from the video feed. The second set of metadata represents a second set of steps to perform a second task. The system determines whether the second set of metadata corresponds to the first set of metadata. If it is determined that the second set of metadata corresponds to the first set of metadata, the system classifies the second task in a class to which the first task belongs.

The system for aggregation and prioritization of diagnostic data for the purpose of mechanical system tuning allows the user, or technician, to quickly tune a complex mechanical system, such as a HVAC system. Tuning is assisted by rendering alert, system performance, and subsystem performance using a consistent visual tuner as a replacement for traditional mechanical gauges. Diagnostic data is collected by one or more data trackers and sensors installed on mechanical components within the HVAC unit. Data collected includes temperatures, flow, amperage consumption, refrigerant pressure, and related metrics. When the user opens the interface for the mechanical system tuner, the user is first prompted to select a location and a time period. The system then reviews its previously collected data, sorting and processing for the location and time period selected. The user is then presented with multiple performance measurements rendered in a consistent graphical, color-coded format.