Abstract: An oxygen-fuel burner for a glass-melting furnace generally includes a first (or inner) conduit for fuel, a second (or middle) conduit for waste glass cullet, and a third (or outer) conduit for combustion oxygen. The first, second, and third conduits are nested and define respective paths for fuel, cullet, and oxygen flows. A cullet supply funnel is coupled to the second conduit such that cullet can be introduced into the second conduit through the funnel. Organic contaminants in the waste glass cullet are incinerated in an almost pure oxygen environment proximate where cullet particles exit from the burner and prior to reaching the glass surface below.

Abstract: The present describes systems and methods to support financial management by determining the impact of a proposed purchase on a financial situation. For example, a device is configured to determine the impact of a proposed purchase on a user's financial situation based on a purchase amount associated with the proposed purchase.

Abstract: An oxygen-fuel burner for a glass-melting furnace generally includes a first (or inner) conduit for fuel, a second (or middle) conduit for waste glass cullet, and a third (or outer) conduit for combustion oxygen. The first, second, and third conduits are nested and define respective paths for fuel, cullet, and oxygen flows. A cullet supply funnel is coupled to the second conduit such that cullet can be introduced into the second conduit through the funnel. Organic contaminants in the waste glass cullet are incinerated in an almost pure oxygen environment proximate where cullet particles exit from the burner and prior to reaching the glass surface below.

Abstract: Systems, methods and software are disclosed for capturing and/or importing and processing media items such as digital images or video (202) associated with a sporting event such as a marathon or bicycle race (FIG. 3). The media items are processed, including bib number or facial recognition if necessary (204, 206, 504), to associate them with an individual participant. Other input sources may include spectator uploads (506), external web sites and media sharing (508) or social networking (510) services. The system (500) aggregates, organizes and generates content, and distributes it (580) via various output channels, which may include event web sites (256), personal feeds (250), and other output channels (260, 254, 252, FIG. 4). Preferably, selected content is associated with at least one individual participant in the event, and that content is automatically distributed to channels that are associated with that individual participant.

Abstract: Systems, methods and software are disclosed for capturing and/or importing and processing media items such as digital images or video (202) associated with a sporting event such as a marathon or bicycle race (FIG. 3). The media items are processed, including bib number or facial recognition if necessary (204, 206, 504), to associate them with an individual participant. Other input sources may include spectator uploads (506), external web sites and media sharing (508) or soda! networking (510) services. The system (500) aggregates, organizes and generates content, and distributes it (580) via various output channels, which may include event web sites (256), personal feeds (250), and other output channels (260, 254, 252, FIG. 4). Preferably, selected content is associated with at least one individual participant in the event, and that content is automatically distributed to channels that are associated with that individual participant.

Abstract: The application discloses a systems and methods for automatically managing and allocating funds deposited in one or more financial accounts owned by the user. The system allows the user to specify and dynamically modify multiple savings goals and to associate each goal with a savings account. As the user makes deposits or withdrawals from an account, the amount of funds allocated to each of the goals associated with the account are automatically adjusted based on the user's relative preferences for the goals as automatically inferred from the user's interactions with the system. The system may also provide incentive rewards to users as they meet interim subgoals or complete a goal to induce users to successfully achieve their savings goals.

Abstract: Disclosed are embodiments of systems and methods for prioritizing mobile media player files by providing for the automated addition and/or deletion of media items for a mobile media player. In some embodiments, a statistical method may be provided for inferring which media items on a mobile media player should be deleted based on, for example, user taste data. In some embodiments, new media items may be loaded onto a user's mobile media player by creating one or more playlists from a playlist builder. The playlist(s) may be created by using user taste data. Rankings may also be created to determine an order for deletion of the media items currently on a mobile media player and/or for addition of new media items to the device.

Abstract: Disclosed are embodiments of systems and methods for recommending relevant users to other users in a user community. In one implementation of such a method, two different sets of data are considered: a) music (or other items) that users have been listening to (or otherwise engaging), and b) music (or other items) recommendations that users have been given. In some embodiments, pre-computation methods allow the system to efficiently compare item sets and recommended item sets among the users in the community. Such comparisons may also comprise metrics that the system can use to figure out which users should be recommended for a given target user.

Abstract: A system and method to navigate through a media item catalog and generate recommendations using behavioral metrics such as correlation metrics (FIGS. 1,2) from a knowledge base (400) of mediasets (FIG. 4, 1-7). One implementation uses a knowledge base comprising a collection of mediasets such as groupings of selected video items. Various metrics (Metric 1-Metric m) among media items (m1 . . . ) are considered by analyzing how the media items are grouped to form the sets in the knowledge base (400). Such metrics preferably are stored in a matrix (100) that allows the system to dynamically build appropriate navigation lists (FIG. 3) from media items that a user selects (FIG. 5).

Abstract: Disclosed are embodiments of systems and methods for prioritizing mobile media player files by providing for the automated addition and/or deletion of media items for a mobile media player. In some embodiments, a statistical method may be provided for inferring which media items on a mobile media player should be deleted based on, for example, user taste data. In some embodiments, new media items may be loaded onto a user's mobile media player by creating one or more playlists from a playlist builder. The playlist(s) may be created by using user taste data. Rankings may also be created to determine an order for deletion of the media items currently on a mobile media player and/or for addition of new media items to the device.

Abstract: Disclosed are embodiments of systems and methods for recommending relevant users to other users in a user community. In one implementation of such a method, two different sets of data are considered: a) music (or other items) that users have been listening to (or otherwise engaging), and b) music (or other items) recommendations that users have been given. In some embodiments, pre-computation methods allow the system to efficiently compare item sets and recommended item sets among the users in the community. Such comparisons may also comprise metrics that the system can use to figure out which users should be recommended for a given target user.

Abstract: The invention relates to a system and method for acquiring and aggregating information relating to the reproduction of multimedia files or elements in a database, said data including information relating to the number of multimedia file or element reproductions. The inventive system comprises a plurality of digital devices which can access and reproduce multimedia files and an acquisition and storage device which communicates with each of the digital devices in order to receive data from each of the identification/characterization programs, such that said identification/characterization program can count the reproductions at least in a direct and/or weighted manner.

Abstract: A computer implemented process for generating customized, user-specific programming for delivery over a network, each programming unit comprising one or more media items, such as song tracks, and at least one promotional media item, such as a commercial advertisement. The media items are selected in response to implicit user taste data, and promotional media items or ads are selected where a media item associated with the promotional media item matches at least one media data item identified as responsive to the user taste data. The media items and the promotional media items are selected so as to constrain the promotional program unit to incur a net cost of no more that a selected maximum cost, wherein the net cost is determined as a sum of the licensing costs of the selected media items, reduced by a sum of the expected revenues generated by the selected promotional media items.

Abstract: A system and method to navigate through a media item catalog and generate recommendations using behavioral metrics such as correlation metrics (FIGS. 1,2) from a knowledge base (400) of mediasets (FIG. 4, 1-7). One implementation uses a knowledge base comprising a collection of mediasets. Various metrics (Metric 1-Metric m) among media items (m1 . . . ) are considered by analyzing how the media items are grouped to form the sets in the knowledge base (400). Such metrics preferably are stored in a matrix (100) that allows the system to dynamically build appropriate navigation lists (FIG. 3) from media items that a user selects (FIG. 5).

Abstract: A system and method to navigate through a media item catalog and generate recommendations using behavioral metrics such as correlation metrics (FIGS. 1,2) from a knowledge base (400) of mediasets (FIG. 4, 1-7). One implementation uses a knowledge base comprising a collection of mediasets. Various metrics (Metric 1-Metric m) among media items (m1 . . . ) are considered by analyzing how the media items are grouped to form the sets in the knowledge base (400). Such metrics preferably are stored in a matrix (100) that allows the system to dynamically build appropriate navigation lists (FIG. 3) from media items that a user selects (FIG. 5).

Abstract: Disclosed are embodiments of systems and methods for selection of promotional media items and/or generation of promotional or advertising units. In one embodiment, a set of promotional media items may be dynamically identified responsive to an input set of media items. In another embodiment, a promotional program unit is generated in response to receipt of user taste data for a user or group of users. The promotional program unit is an integral unit made up of one or more media items and one or more promotional media items.

Abstract: Systems, methods and software are disclosed for capturing and/or importing and processing media items such as digital images or video (202) associated with a sporting event such as a marathon or bicycle race (FIG. 3). The media items are processed, including bib number or facial recognition if necessary (204, 206, 504), to associate them with an individual participant. Other input sources may include spectator uploads (506), external web sites and media sharing (508) or social networking (510) services. The system (500) aggregates, organizes and generates content, and distributes it (580) via various output channels, which may include event web sites (256), personal feeds (250), and other output channels (260, 254, 252, FIG. 4). Preferably, selected content is associated with at least one individual participant in the event, and that content is automatically distributed to channels that are associated with that individual participant.

Abstract: A system and method to navigate through a media item catalog using correlation metrics (FIGS. 1,2) from a knowledge base (400) of mediasets (FIG. 4, 1-7). The system uses a knowledge base consisting of a collection of mediasets. Various metrics (Metric 1-Metric m) among media items (m1. . . ) are considered by analyzing how the media items are grouped to form the sets in the knowledge base (400). Such metrics preferably are stored in a matrix (100) that allows the system to dynamically build appropriate navigation lists (FIG. 3) from media items that a user selects (FIG. 5).

Abstract: The invention relates to a system and method for acquiring and aggregating information relating to the reproduction of multimedia files or elements in a database, said data including information relating to the number of multimedia file or element reproductions. The inventive system comprises a plurality of digital devices which can access and reproduce multimedia files and an acquisition and storage device which communicates with each of the digital devices in order to receive data from each of the identification/characterization programs, such that the identification/characterization program can count the reproductions at least in a direct and/or weighted manner.

Abstract: Disclosed are embodiments of systems and methods for prioritizing mobile media player files by providing for the automated addition and/or deletion of media items for a mobile media player. In some embodiments, a statistical method may be provided for inferring which media items on a mobile media player should be deleted based on, for example, user taste data. In some embodiments, new media items may be loaded onto a user's mobile media player by creating one or more playlists from a playlist builder. The playlist(s) may be created by using user taste data. Rankings may also be created to determine an order for deletion of the media items currently on a mobile media player and/or for addition of new media items to the device.