Embodiments of the present invention provide computer-implemented methods, computer program products and computer systems. Embodiments of the present invention can, in response to receiving a request, identify a core component from source material based on topic analysis. Embodiments of the present invention can then generate three-dimensional representations of physical core components associated with the request. Finally, embodiments of the present invention then render the generated three-dimensional representations of the physical core components over the physical core components.

Embodiments of the present invention provide computer-implemented methods, computer program products and computer systems. Embodiments of the present invention can, in response to receiving a request, identify a core component from source material based on topic analysis. Embodiments of the present invention can then generate three-dimensional representations of physical core components associated with the request. Finally, embodiments of the present invention then render the generated three-dimensional representations of the physical core components over the physical core components.

A video data obtaining method comprises: deploying at least two simulators, each of the at least two simulators being used to simulate operation of one mobile terminal; sending video access requests to a server respectively by means of the at least two simulators; and respectively receiving, by means of the at least two simulators, video data returned by the server according to the corresponding video access requests. During the respectively receiving, by means of the at least two simulators, video data returned by the server according to the corresponding video access requests, the obtaining method further comprises: intercepting the video data returned by the server according to the corresponding video access requests, and storing the intercepted video data in a set database.

A video data obtaining method comprises: deploying at least two simulators, each of the at least two simulators being used to simulate operation of one mobile terminal; sending video access requests to a server respectively by means of the at least two simulators; and respectively receiving, by means of the at least two simulators, video data returned by the server according to the corresponding video access requests. During the respectively receiving, by means of the at least two simulators, video data returned by the server according to the corresponding video access requests, the obtaining method further comprises: intercepting the video data returned by the server according to the corresponding video access requests, and storing the intercepted video data in a set database.

In some embodiments, a method receives a sequence of subsidiary features that are associated with a sequence of main features. A subsidiary feature provides subsidiary information for a main feature. A sequence of first weights for the sequence of subsidiary features is generates where a first weight in the sequence of first weights is generated based on a respective subsidiary feature. The method processes the sequence of first weights to generate a sequence of second weights. The processing uses relationships in the sequence of first weights to generate values of the second weights. The method uses the sequence of second weights to process the sequence of main features to generate an output for the sequence of main features.

A video recommending method, including: obtaining videos, the video including long videos and short videos; obtaining a subset of the long videos, of which video attribute values are greater than corresponding attribute thresholds; obtaining a watching record of a user, and obtaining similarities between the short videos and videos in the watching record, to extract a preset quantity of short videos having highest similarities; and recommending the subset of the long videos, of which video attribute values are greater than corresponding attribute thresholds, to the user, and/or recommending the preset quantity of short videos having highest similarities to the user.

Methods and systems for calculating, storing, and allowing electronic searches for metadata associated with media titles. The metadata includes scores specific to each actor and each genre of a media title, where the scores indicate the degree to which an actor’s performance in that title corresponds to a particular genre. Electronic searches for particular actors’ performance in a specific genre thus return more accurate results that more correctly reflect how well the actors’ performances reflect that genre.

Methods and systems for calculating, storing, and allowing electronic searches for metadata associated with media titles. The metadata includes scores specific to each actor and each genre of a media title, where the scores indicate the degree to which an actor’s performance in that title corresponds to a particular genre. Electronic searches for particular actors’ performance in a specific genre thus return more accurate results that more correctly reflect how well the actors’ performances reflect that genre.

This document describes, among other things, systems, methods, devices, and other techniques for using information about how long various videos were presented at client devices to determine subsequent video recommendations and search results. In some implementations, a computing can include a modeling apparatus, a front-end server, a request manager, one or more video file storage devices, a video selector, or a combination of some or all of these. The video selector can select video content for a particular digitized video among a plurality of digitized videos to serve to a computing device responsive to a request. The selection can be based at least in part on how long the particular digitized video has been presented at client devices associated with users having characteristics that match one or more characteristics of the user that submitted the request for video content, as indicated by the modeling apparatus.

This document describes, among other things, systems, methods, devices, and other techniques for using information about how long various videos were presented at client devices to determine subsequent video recommendations and search results. In some implementations, a computing can include a modeling apparatus, a front-end server, a request manager, one or more video file storage devices, a video selector, or a combination of some or all of these. The video selector can select video content for a particular digitized video among a plurality of digitized videos to serve to a computing device responsive to a request. The selection can be based at least in part on how long the particular digitized video has been presented at client devices associated with users having characteristics that match one or more characteristics of the user that submitted the request for video content, as indicated by the modeling apparatus.