Abstract: Aggregation of noisy datasets into a master firmographic database. In an embodiment, firmographic records are received from a plurality of sources, and normalized into a common schema. One or more firmographic records may be cleaned by replacing a value of one or more fields in those firmographic record(s) with a value of those field(s) in another firmographic record. The firmographic records may then be clustered, and each of the clusters may be collapsed into a single conflated firmographic record based on a voting process. A master identifier may be generated for each conflated firmographic record, and the conflated firmographic records may be merged into a master firmographic database that is indexed by master identifiers.

Abstract: Aggregation of noisy datasets into a master firmographic database. In an embodiment, firmographic records are received from a plurality of sources, and normalized into a common schema. One or more firmographic records may be cleaned by replacing a value of one or more fields in those firmographic record(s) with a value of those field(s) in another firmographic record. The firmographic records may then be clustered, and each of the clusters may be collapsed into a single conflated firmographic record based on a voting process. A master identifier may be generated for each conflated firmographic record, and the conflated firmographic records may be merged into a master firmographic database that is indexed by master identifiers.

Abstract: Mapping anonymous Internet entities to known accounts. In an embodiment, events, representing online activity and comprising IP addresses, are received from a plurality of sources. Subsets of the events are aggregated into mappings that associate the IP address, shared by the subset, with an account. Each mapping is associated with statistics regarding the events. A confidence value is calculated for each mapping based on the statistics, and a final subset of the mappings is selected based on the confidence values. Subsequently, when a request with an IP address is received, the final subset of mappings is searched for the requested IP address, and an indication of the account associated with the requested IP address is returned in response to the request.

Abstract: Mapping anonymous Internet entities to known accounts. In an embodiment, events, representing online activity and comprising IP addresses, are received from a plurality of sources. Subsets of the events are aggregated into mappings that associate the IP address, shared by the subset, with an account. Each mapping is associated with statistics regarding the events. A confidence value is calculated for each mapping based on the statistics, and a final subset of the mappings is selected based on the confidence values. Subsequently, when a request with an IP address is received, the final subset of mappings is searched for the requested IP address, and an indication of the account associated with the requested IP address is returned in response to the request.

Abstract: Mapping anonymous Internet entities to known accounts. In an embodiment, events, representing online activity and comprising IP addresses, are received from a plurality of sources. Subsets of the events are aggregated into mappings that associate the IP address, shared by the subset, with an account. Each mapping is associated with statistics regarding the events. A confidence value is calculated for each mapping based on the statistics, and a final subset of the mappings is selected based on the confidence values. Subsequently, when a request with an IP address is received, the final subset of mappings is searched for the requested IP address, and an indication of the account associated with the requested IP address is returned in response to the request.

Abstract: Artificial intelligence for next best action. In an embodiment, contact data and contact-specific activity data are received from a user system. A profile model is applied to the contact data to generate a profile score for each contact, and an intent model is applied to the contact-specific activity data to generate an intent score for each contact. Contact recommendations are determined based on the profile scores and the intent scores, and a recommended contact list is generated based on the contact recommendations. The recommended contact list may then be provided to a user.

Abstract: Aggregation of noisy datasets into a master firmographic database. In an embodiment, firmographic records are received from a plurality of sources, and normalized into a common schema. One or more firmographic records may be cleaned by replacing a value of one or more fields in those firmographic record(s) with a value of those field(s) in another firmographic record. The firmographic records may then be clustered, and each of the clusters may be collapsed into a single conflated firmographic record based on a voting process. A master identifier may be generated for each conflated firmographic record, and the conflated firmographic records may be merged into a master firmographic database that is indexed by master identifiers.

Abstract: Mapping anonymous Internet entities to known accounts. In an embodiment, events, representing online activity and comprising IP addresses, are received from a plurality of sources. Subsets of the events are aggregated into mappings that associate the IP address, shared by the subset, with an account. Each mapping is associated with statistics regarding the events. A confidence value is calculated for each mapping based on the statistics, and a final subset of the mappings is selected based on the confidence values. Subsequently, when a request with an IP address is received, the final subset of mappings is searched for the requested IP address, and an indication of the account associated with the requested IP address is returned in response to the request.

Abstract: Mapping anonymous Internet entities to known accounts. In an embodiment, events, representing online activity and comprising IP addresses, are received from a plurality of sources. Subsets of the events are aggregated into mappings that associate the IP address, shared by the subset, with an account. Each mapping is associated with statistics regarding the events. A confidence value is calculated for each mapping based on the statistics, and a final subset of the mappings is selected based on the confidence values. Subsequently, when a request with an IP address is received, the final subset of mappings is searched for the requested IP address, and an indication of the account associated with the requested IP address is returned in response to the request.

Abstract: Improvements relate to a heat and energy integrated method and apparatus for plastic waste recovery having supercritical liquefaction. A volume of plastic waste is processed to produce a plastic waste stream. A reaction unit is utilized for adsorbing the plastic with a solvent having at least water, plus heating and pressurizing the plastic waste stream with the solvent into a supercritical extraction state for converting the plastic waste stream into a mixture fluid stream of a supercritical nature within the reaction unit. The mixture fluid stream may be cycled proximate to the outlet from the reaction unit via periodically letting the pressure down, and then letting the pressure recover. A volume of inert solids are removed from the mixture fluid stream thereby creating a remaining combined gases and liquids fluid stream. Power is recovered from the remaining combined gases and liquids fluid stream. And, volumes of water, gas and oil are separated from the combined gases and liquids fluid stream.

Abstract: Mapping anonymous Internet entities to known accounts. In an embodiment, events, representing online activity and comprising IP addresses, are received from a plurality of sources. Subsets of the events are aggregated into mappings that associate the IP address, shared by the subset, with an account. Each mapping is associated with statistics regarding the events. A confidence value is calculated for each mapping based on the statistics, and a final subset of the mappings is selected based on the confidence values. Subsequently, when a request with an IP address is received, the final subset of mappings is searched for the requested IP address, and an indication of the account associated with the requested IP address is returned in response to the request.

Abstract: Mapping anonymous Internet entities to known accounts. In an embodiment, events, representing online activity and comprising IP addresses, are received from a plurality of sources. Subsets of the events are aggregated into mappings that associate the IP address, shared by the subset, with an account. Each mapping is associated with statistics regarding the events. A confidence value is calculated for each mapping based on the statistics, and a final subset of the mappings is selected based on the confidence values. Subsequently, when a request with an IP address is received, the final subset of mappings is searched for the requested IP address, and an indication of the account associated with the requested IP address is returned in response to the request.

Abstract: Aspects of the subject disclosure include sending, to a hospitality set-top box, subscription information of a user; receiving from the hospitality set-top box, via a personalized graphical user interface, a request to view a media content item; determining whether access to the media content item is available free of charge as part of a service subscription; selecting, one of a first account or a second account to which a fee for access to the media content item is to be charged; responsive to the first account being selected, charging the fee to the first account; responsive to the second account being selected, charging the fee to the second account; and transmitting the media content item to the hospitality set-top box. Other embodiments are disclosed.

Abstract: Mapping anonymous Internet entities to known accounts. In an embodiment, events, representing online activity and comprising IP addresses, are received from a plurality of sources. Subsets of the events are aggregated into mappings that associate the IP address, shared by the subset, with an account. Each mapping is associated with statistics regarding the events. A confidence value is calculated for each mapping based on the statistics, and a final subset of the mappings is selected based on the confidence values. Subsequently, when a request with an IP address is received, the final subset of mappings is searched for the requested IP address, and an indication of the account associated with the requested IP address is returned in response to the request.

Abstract: Aspects of the subject disclosure include sending, to a hospitality set-top box, subscription information of a user; receiving from the hospitality set-top box, via a personalized graphical user interface, a request to view a media content item; determining whether access to the media content item is available free of charge as part of a service subscription; selecting, one of a first account or a second account to which a fee for access to the media content item is to be charged; responsive to the first account being selected, charging the fee to the first account; responsive to the second account being selected, charging the fee to the second account; and transmitting the media content item to the hospitality set-top box. Other embodiments are disclosed.

Abstract: In one example, the present disclosure describes a device, computer-readable medium, and method for the delivery of video data and power via a single device port. For instance, in one example, a device includes a processor and a computer-readable medium storing instructions which, when executed by the processor, cause the processor to perform operations. The operations include receiving a power signal via a first port of the device, receiving a data stream via the first port of the device, and decoding the data stream to extract displayable content from the data stream.

Abstract: In one example, the present disclosure describes a device, computer-readable medium, and method for the controlling the distribution of video programs and other data to a set top box based on the geographic location of the set top box. For instance, in one example, a device includes a processor and a computer-readable medium storing instructions which, when executed by the processor, cause the processor to perform operations. The operations include determining a time to send a current geographic location of the device to a remote server, sending a first signal to the remote server, wherein the current geographic location is encoded in the first signal, extracting an instruction from a second signal sent by the remote server in response to the first signal, and taking an action in response to the instruction, wherein the action alters an ability of the device to process a satellite signal.

Abstract: Aspects of the subject disclosure include sending, to a hospitality set-top box, subscription information of a user; receiving from the hospitality set-top box, via a personalized graphical user interface, a request to view a media content item; determining whether access to the media content item is available free of charge as part of a service subscription; selecting, one of a first account or a second account to which a fee for access to the media content item is to be charged; responsive to the first account being selected, charging the fee to the first account; responsive to the second account being selected, charging the fee to the second account; and transmitting the media content item to the hospitality set-top box. Other embodiments are disclosed.

Abstract: Systems, methods, and apparatus are herein described for reducing stuttering or skipped frames in media rendering by switching between two sampling windows of a CPU frequency governor. In particular, a sampling window for the governor can switch between a first mode and a second mode, where the first mode involves a default sampling window having a period greater than 1/f, is out of phase with or not aligned with VSync pulses, and is clocked to an internal clock of the CPU frequency governor. The second mode involves an adjusted sampling window having a period equal to 1/f, and is in phase with or aligned with VSync pulses. Further, f, can be the refresh rate of a display device. VSync pulses can be provided to the CPU frequency governor, which can use these pulses to clock the sampling window when a CPU workload becomes or is expected to become sporadic.

Abstract: An example method of scaling a central processing unit (CPU) frequency of at least one CPU includes tracking an average quantity of graphics library calls made per graphics library draw call per frame of rendering. The method further includes detecting, based on tracking the average quantity of graphics library calls made per graphics library draw call per frame of rendering, a gaming workload on a computing device including a CPU. The method also includes switching the computing device to a gaming mode. Switching the computing device to a gaming mode includes reducing a CPU FMax of the CPU executing on the computing device.