Abstract: The present subject matter relates generally to systems and methods for adding interactive functionality to a website, other digital media objects, and computer processor applications. Systems and methods for adding functionality to content served by a first server, may include receiving, at a second server, a request from a client-computer for code to add purchase functionality to the content. The code may be sent to the client-computer based on the request. A further request may be received from the client-computer containing information about objects identified in the content as relating to the purchase functionality and a request for information about the objects. Information about the objects may be sent to the client-computer based on the further request. An instruction to complete the purchase may be received from the client-computer, and a confirmation of the completion of the purchase may be sent to the client-computer.

Abstract: Systems, device and techniques are disclosed for performing a media action such as a democratic skip action based on input from one or more users that are part of a media group. One or more users within a media group may provide preference indicators (e.g., skip, keep, null) and, upon reaching a threshold number of preference indicators, a media action (e.g., skip song) may be taken. The preference indicators may be weighed based on one or more factors such as a user or media item.

Abstract: Systems, device and techniques are disclosed for performing a media action such as a democratic skip action based on input from one or more users that are part of a media group. One or more users within a media group may provide preference indicators (e.g., skip, keep, null) and, upon reaching a threshold number of preference indicators, a media action (e.g., skip song) may be taken. The preference indicators may be weighed based on one or more factors such as a user or media item.

Abstract: A method of recommending content items includes obtaining vector representations of items based on a matrix of items versus item users that indicates item use by the users, reducing each of the vector representations to a two-dimensional space, creating clusters having cluster centers using one or more mixture models based on the reduced vector representations, using the cluster centers for one or more mixture models to create discrete categories to which items can be assigned and providing one or more recommendations to a first user based on the item assignments within the discrete categories.

Abstract: A media recommendation system may score media items according to user recommendations, popularity, and/or recency. The scores may be weighted to produce an overall score for each media item. Media items may be added to a pool for a specific user, from which media items are selected for playback. The contents of the pool may be modified based upon user feedback and other data. The pool may be modified dynamically and/or in real time as media items are consumed or rated by the user.

Abstract: A media recommendation system may score media items according to user recommendations, popularity, and/or recency. The scores may be weighted to produce an overall score for each media item. Media items may be added to a pool for a specific user, from which media items are selected for playback. The contents of the pool may be modified based upon user feedback and other data. The pool may be modified dynamically and/or in real time as media items are consumed or rated by the user.

Abstract: The present subject matter relates generally to systems and methods for adding interactive functionality to a website, other digital media objects, and computer processor applications. Systems and methods for adding functionality to content served by a first server, may include receiving, at a second server, a request from a client-computer for code to add purchase functionality to the content. The code may be sent to the client-computer based on the request. A further request may be received from the client-computer containing information about objects identified in the content as relating to the purchase functionality and a request for information about the objects. Information about the objects may be sent to the client-computer based on the further request. An instruction to complete the purchase may be received from the client-computer, and a confirmation of the completion of the purchase may be sent to the client-computer.

Abstract: A media recommendation system may score media items according to user recommendations, popularity, and/or recency. The scores may be weighted to produce an overall score for each media item. Media items may be added to a pool for a specific user, from which media items are selected for playback. The contents of the pool may be modified based upon user feedback and other data. The pool may be modified dynamically and/or in real time as media items are consumed or rated by the user.

Abstract: A media recommendation system may score media items according to user recommendations, popularity, and/or recency. The scores may be weighted to produce an overall score for each media item. Media items may be added to a pool for a specific user, from which media items are selected for playback. The contents of the pool may be modified based upon user feedback and other data. The pool may be modified dynamically and/or in real time as media items are consumed or rated by the user.

Abstract: Systems, device and techniques are disclosed for receiving a request from a user to add a media item to a playlist at a certain playlist position where the media items in the playlist are provided to other users in a media group. Based on a determination that the requesting user has rights to the requested media item, the requested media item may be added to the playlist at the position. When the playlist reaches the position, the user that added the media item to the playlist may be provided with a first version of the media item and the other users in the group may be provided with a second version of the media item. If the user that requested the item to be added to the playlist is determined not to have rights to the media item, the item is added to a position different than the requested position.

Abstract: In a method for evaluating a performance of a recommender system, a session of M content items consumed by a user can be identified. The session can be defined such that, for each of a first (M-1) content items in the session, a delay time between a completion of consumption of one of the first (M-1) content items and a commencement of consumption of a directly next content item in the session is less than a predetermined duration of time. Content items in a content item-base can be ranked, based on the first (M-1) content items, according to a likelihood of each content item in the content item-base to be consumed next. A session metric can be generated for each content item in the content item-base. The recommender system can be trained based on the session metric for the Mth content item.

Abstract: Systems, device and techniques are disclosed for receiving a request from a user to add a media item to a playlist at a certain playlist position where the media items in the playlist are provided to other users in a media group. Based on a determination that the requesting user has rights to the requested media item, the requested media item may be added to the playlist at the position. When the playlist reaches the position, the user that added the media item to the playlist may be provided with a first version of the media item and the other users in the group may be provided with a second version of the media item. If the user that requested the item to be added to the playlist is determined not to have rights to the media item, the item is added to a position different than the requested position.

Abstract: The present subject matter relates generally to systems and methods for adding interactive functionality to a website, other digital media objects, and computer processor applications. Systems and methods for adding functionality to content served by a first server, may include receiving, at a second server, a request from a client-computer for code to add purchase functionality to the content. The code may be sent to the client-computer based on the request. A further request may be received from the client-computer containing information about objects identified in the content as relating to the purchase functionality and a request for information about the objects. Information about the objects may be sent to the client-computer based on the further request. An instruction to complete the purchase may be received from the client-computer, and a confirmation of the completion of the purchase may be sent to the client-computer.

Abstract: A media recommendation system may score media items according to user recommendations, popularity, and/or recency. The scores may be weighted to produce an overall score for each media item. Media items may be added to a pool for a specific user, from which media items are selected for playback. The contents of the pool may be modified based upon user feedback and other data. The pool may be modified dynamically and/or in real time as media items are consumed or rated by the user.

Abstract: A media recommendation system may score media items according to user recommendations, popularity, and/or recency. The scores may be weighted to produce an overall score for each media item. Media items may be added to a pool for a specific user, from which media items are selected for playback. The contents of the pool may be modified based upon user feedback and other data. The pool may be modified dynamically and/or in real time as media items are consumed or rated by the user.

Abstract: A method of recommending content items includes obtaining vector representations of items based on a matrix of items versus item users that indicates item use by the users, reducing each of the vector representations to a two-dimensional space, creating clusters having cluster centers using one or more mixture models based on the reduced vector representations, using the cluster centers for one or more mixture models to create discrete categories to which items can be assigned and providing one or more recommendations to a first user based on the item assignments within the discrete categories.

Abstract: A method of recommending content items includes obtaining vector representations of items based on a matrix of items versus item users that indicates item use by the users, reducing each of the vector representations to a two-dimensional space, creating clusters having cluster centers using one or more mixture models based on the reduced vector representations, using the cluster centers for one or more mixture models to create discrete categories to which items can be assigned and providing one or more recommendations to a first user based on the item assignments within the discrete categories.

Abstract: A media recommendation system may score media items according to user recommendations, popularity, and/or recency. The scores may be weighted to produce an overall score for each media item. Media items may be added to a pool for a specific user, from which media items are selected for playback. The contents of the pool may be modified based upon user feedback and other data. The pool may be modified dynamically and/or in real time as media items are consumed or rated by the user.

Abstract: A media recommendation system may score media items according to user recommendations, popularity, and/or recency. The scores may be weighted to produce an overall score for each media item. Media items may be added to a pool for a specific user, from which media items are selected for playback. The contents of the pool may be modified based upon user feedback and other data. The pool may be modified dynamically and/or in real time as media items are consumed or rated by the user.

Abstract: A system and method for sharing electronic content. A sending user can specify one or more criteria that a recipient memory device must have to store the content. The sending user can also specify a digital rights management control that can be associated with the content. The content can be transferred to the recipient if the recipient memory device has the specified properties. Software at the recipient can ensure that the content is handled in accordance with the digital rights management controls specified by the sender.