Abstract: A method implemented by a data processing system including: accessing the container image that includes the first application and a second application; determining, by the data processing system, the number of parallel executions of the given module of the first application; for the given module, generating a plurality of instances of the container image in accordance with the number of parallel executions determined, for each instance, configuring that instance to execute the given module of the first application; causing each of the plurality of configured instances to execute on one or more of the host systems; and for at least one of the plurality of configured instances, causing, by the second application of that configured instance, communication between the data processing system and the one or more of the host systems executing that configured instance.

Abstract: Media content may be recommended based on feedback weightings. Input data describing the presentation of a media content items in association with content management accounts may be represented as data points. Each data point may identify feedback data for a media content item previously recommended for presentation in association with a content management account. The feedback data may identify a viewer reaction to the recommended media content item. A weighting factor based on the feedback data for the media content item presented in association with the content management account may be applied to produce a recommendation.

Abstract: Example bicycle suspension components are described herein. An example suspension component includes a first tube and a second tube configured in a telescopic arrangement and defining an interior space, and a damper in the interior space. The damper includes a damper body defining a chamber, a damper member in the chamber, and a shaft coupled to the damper member. The example suspension component also includes an isolator coupling the shaft to a bottom end of the second tube, the isolator including an elastomeric member to absorb vibrations.

Abstract: Media content may be recommended based on feedback weightings. Input data describing the presentation of a media content items in association with content management accounts may be represented as data points. Each data point may identify feedback data for a media content item previously recommended for presentation in association with a content management account. The feedback data may identify a viewer reaction to the recommended media content item. A weighting factor based on the feedback data for the media content item presented in association with the content management account may be applied to produce a recommendation.

Abstract: Media content may be recommended based on feedback weightings. Input data describing the presentation of a media content items in association with content management accounts may be represented as data points. Each data point may identify feedback data for a media content item previously recommended for presentation in association with a content management account. The feedback data may identify a viewer reaction to the recommended media content item. A weighting factor based on the feedback data for the media content item presented in association with the content management account may be applied to produce a recommendation.

Abstract: Example bicycle suspension components are described herein. An example suspension component includes a first tube and a second tube configured in a telescopic arrangement and defining an interior space, and a damper in the interior space. The damper includes a damper body defining a chamber, a damper member in the chamber, and a shaft coupled to the damper member. The example suspension component also includes an isolator coupling the shaft to a bottom end of the second tube, the isolator including an elastomeric member to absorb vibrations.

Abstract: Media content may be recommended based on feedback weightings. Input data describing the presentation of a media content items in association with content management accounts may be represented as data points. Each data point may identify feedback data for a media content item previously recommended for presentation in association with a content management account. The feedback data may identify a viewer reaction to the recommended media content item. A weighting factor based on the feedback data for the media content item presented in association with the content management account may be applied to produce a recommendation.

Abstract: Media content may be recommended based on feedback weightings. Input data describing the presentation of a media content items in association with content management accounts may be represented as data points. Each data point may identify feedback data for a media content item previously recommended for presentation in association with a content management account. The feedback data may identify a viewer reaction to the recommended media content item. A weighting factor based on the feedback data for the media content item presented in association with the content management account may be applied to produce a recommendation.

Abstract: Media content may be recommended based on feedback weightings. Input data describing the presentation of a media content items in association with content management accounts may be represented as data points. Each data point may identify feedback data for a media content item previously recommended for presentation in association with a content management account. The feedback data may identify a viewer reaction to the recommended media content item. A weighting factor based on the feedback data for the media content item presented in association with the content management account may be applied to produce a recommendation.

Abstract: Media content may be recommended based on feedback weightings. Input data describing the presentation of a media content items in association with content management accounts may be represented as data points. Each data point may identify feedback data for a media content item previously recommended for presentation in association with a content management account. The feedback data may identify a viewer reaction to the recommended media content item. A weighting factor based on the feedback data for the media content item presented in association with the content management account may be applied to produce a recommendation.

Abstract: Techniques allow seamless transitioning of a mesh-based videoconference to a bridged videoconference. Criteria are defined for use in a triggering point function that may be evaluated to determine whether to make the transition. Escalation logic in an escalation manager may be used to manage the transition, allowing some participants to connect via a multipoint control unit, which is in turn a participant in the mesh-based videoconference, with the escalation manager relaying media streams from the mesh-connected participants. The mesh-connected participants may then drop their mesh connections without disruption to the videoconference. Escalation logic in the endpoints may be used as an alternate to an escalation manager unit.

Abstract: Techniques allow seamless transitioning of a mesh-based videoconference to a bridged videoconference. Criteria are defined for use in a triggering point function that may be evaluated to determine whether to make the transition. Escalation logic in an escalation manager may be used to manage the transition, allowing some participants to connect via a multipoint control unit, which is in turn a participant in the mesh-based videoconference, with the escalation manager relaying media streams from the mesh-connected participants. The mesh-connected participants may then drop their mesh connections without disruption to the videoconference. Escalation logic in the endpoints may be used as an alternate to an escalation manager unit.

Abstract: Geographic context may be used to recommend media content items for consumption by users of a media content management system. A request for a media content recommendation may be associated with a content management account and a geographic location. The media content management system may determine whether the geographic location includes individuals who are not associated with the content management account. If the geographic location includes such individuals, the system may recommend content suitable for sharing such as games, music playlists, movies, or television programs.

Abstract: Geographic context may be used to recommend media content items for consumption by users of a media content management system. A request for a media content recommendation may be associated with a content management account and a geographic location. The media content management system may determine whether the geographic location includes individuals who are not associated with the content management account. If the geographic location includes such individuals, the system may recommend content suitable for sharing such as games, music playlists, movies, or television programs.

Abstract: Media content may be recommended based on feedback weightings. Input data describing the presentation of a media content items in association with content management accounts may be represented as data points. Each data point may identify feedback data for a media content item previously recommended for presentation in association with a content management account. The feedback data may identify a viewer reaction to the recommended media content item. A weighting factor based on the feedback data for the media content item presented in association with the content management account may be applied to produce a recommendation.

Abstract: Techniques and mechanisms described herein facilitate the performance of feedback-based weighted content recommendation. According to various embodiments, input data for performing media content recommendation analysis may be identified. The input data may describe the presentation of a plurality of media content items in association with a plurality of content management accounts. The input data may comprise a plurality of data points. Each of the data points may identify respective feedback data for a respective one of the media content items previously recommended for presentation in association with a respective one of the content management accounts. The feedback data may identify a viewer reaction to the recommended media content item. For each or selected ones of the data points, a respective weighting factor based on the feedback data for the respective media content item presented in association with the respective content management account may be applied.

Abstract: Techniques and mechanisms described herein facilitate the performance of time context weighted content recommendation. According to various embodiments, information identifying one or more viewing events or actions detected in association with a designated content management account at a media system may be received. The one or more viewing events or actions may have associated therewith time information indicating a time at which the one or more viewing events or actions occurred. The designated content management account may provide access to a plurality of media content items via the media system. The designated content management account may be associated with a time context viewing profile. The time context viewing profile designating one or more of the plurality of media content items for recommendation in association with the designated content management account. The time context viewing profile may also designate a time context for recommending the designated media content items.

Abstract: Techniques and mechanisms described herein facilitate the performance of view-count weighted content recommendation. According to various embodiments, input data for performing media content recommendation analysis may be identified. The input data may describe the presentation of a plurality of media content items in association with a plurality of content management accounts. The input data may comprise a plurality of data points. Each of the data points may identify a respective view count for a respective one of the media content items presented in association with a respective one of the content management accounts. The view count may identify a number of times that the media content item has been presented in association with the content management account. A respective weighting factor may be applied based on the respective view count for the respective media content item presented in association with the respective content management account.

Abstract: Techniques and mechanisms described herein facilitate the performance of time-viewed weighted content recommendation. According to various embodiments, input data for performing media content recommendation analysis is identified. The input data may describe the presentation of a plurality of media content items in association with a plurality of content management accounts. The input data may comprise a plurality of data points. Each of the data points may identify a respective time viewed for a respective one of the media content items presented in association with a respective one of the content management accounts. The time viewed may identify a date or time of day that the media content item has been presented in association with the content management account. For each or selected ones of the data points, a respective weighting factor may be applied based on the respective time viewed for the respective media content item.

Abstract: Techniques and mechanisms described herein facilitate the performance of content recommendation pre-filtering. According to various embodiments, information identifying one or more viewing events or actions detected in association with a designated content management account at a media system may be received. The designated content management account may provide access to a plurality of media content items via the media system. The designated content management account may be associated with a viewing profile. The viewing profile may designate one or more of the plurality of media content items for recommendation in association with the designated content management account. The viewing profile may also designate a pattern of viewing activity for recommending the designated media content items.