Abstract: Embodiments are directed towards determining an overall success of a plurality of features and recommending a subset of those features to a user for generating new content. For each feature that is associated with content, an overall success may be determined based on a success of each of a plurality of content that the feature is associated. A subset of the features may be displayed to the user—from which the user can select features to utilize for generating the new content. Based on the features selected by the user, the displayed features may be dynamically updated to include one or more recommended features. A feature may be recommended to the user based on a combination of the overall success of each selected feature and the overall success of each recommended feature. The selected features may be utilized to create the new content.

Abstract: Embodiments are directed towards dynamically managing contextual recommendations that can be employed with content when provided to a channel. A test for a variable having at least two outcomes may be determined to be employed with selected content. Each outcome may correspond to a different contextual recommendation. An outcome to employ with the content may be randomly determined/selected such that each of the outcomes of the test is selected a substantially similar number of times. The content may be modified and/or provided to the channel based on contextual recommendations that correspond to the determined outcome. Actions associated with a plurality of content may be monitored and/or analyzed to determine metrics for each outcome of a test. A comparison of the metrics for each outcome may be utilized to determine a preferred outcome for the test.

Abstract: Embodiments are directed towards dynamically managing a plurality of channels for providing content to users. New channels may be automatically generated based on sub-interest groups of existing channels, which may generate a hierarchy of channels, where new content may be posted and/or provided to the new channel, and/or a parent channel. The new channel may be proposed to a user, that accesses content on a channel, to invite the user to subscribe to the new channel. The proposed channel may be determined based on a weight of channels associated with the accessed content. Similarly, a proposed channel may be provided to a publisher for new content based on the weight of channels associated with the new content. Channels may be discontinued if a value of the channel falls below a predetermined threshold. Channels with overlapping characteristics may be merged together if the overlapping channels satisfy merging criteria.

Abstract: Embodiments are directed towards dynamically managing contextual recommendations that can be employed with content when provided to a channel. A test for a variable having at least two outcomes may be determined to be employed with selected content. Each outcome may correspond to a different contextual recommendation. An outcome to employ with the content may be randomly determined/selected such that each of the outcomes of the test is selected a substantially similar number of times. The content may be modified and/or provided to the channel based on contextual recommendations that correspond to the determined outcome. Actions associated with a plurality of content may be monitored and/or analyzed to determine metrics for each outcome of a test. A comparison of the metrics for each outcome may be utilized to determine a preferred outcome for the test.