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: 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: 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: 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: An interstitial message server system selects a like interstitial message that corresponds to a like user event generated by a user, a skip interstitial message corresponding to a skip user event generated by the user and a playthrough interstitial message corresponding to a play through user event. The like, skip and playthrough interstitial messages can be selected based upon an identifier of a media object that can be presented to the user. At least one each of the like, skip and playthrough interstitial messages can be sent to a user computer before or during the presentation of a media object. While or after the media object is presented to the user at the user computer, the user computer can be caused to detect a like, skip or playthrough user event with respect to the media object.

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: An interstitial message server system selects a like interstitial message that corresponds to a like user event generated by a user, a skip interstitial message corresponding to a skip user event generated by the user and a playthrough interstitial message corresponding to a play through user event. The like, skip and playthrough interstitial messages can be selected based upon an identifier of a media object that can be presented to the user. At least one each of the like, skip and playthrough interstitial messages can be sent to a user computer before or during the presentation of a media object. While or after the media object is presented to the user at the user computer, the user computer can be caused to detect a like, skip or playthrough user event with respect to the media object.

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 receiving a first taste profile of a first user based on at least a first profile criteria and receiving a second taste profile of a second user based on at least a second profile criteria. An area of interest may be determined based on the first and second taste profiles. A playlist containing one or more media items (e.g., audio, video, text, etc.) may be generated based on the determined area of interest.

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: 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 first taste profile of a first user based on at least a first profile criteria and receiving a second taste profile of a second user based on at least a second profile criteria. An area of interest may be determined based on the first and second taste profiles. A playlist containing one or more media items (e.g., audio, video, text, etc.) may be generated based on the determined area of interest.

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: 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 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.