Abstract: Vaporizers and vaporizer systems, which can include a user device in communication with a vaporizer, can include one or more features related to control of functions and/or features of the vaporizer. A method for locking a vaporizer is provided. The method includes determining whether a vaporizer is within a communication range of a second device. The method further includes locking the vaporizer in response to the vaporizer being within the communication range. The method further includes receiving information associated with a user of the vaporizer. The method further includes determining, based on the received information, an age of the user and unlocking, by the one or more processors and based on the age of the user satisfying a threshold, the vaporizer to activate the operation of the vaporizer.

Abstract: A vaporizer system may include a vaporizer device communicatively coupled with a user device configured to control the functions and/or features of the vaporizer device. The vaporizer device may serve as a replacement for traditional combustible cigarettes. Accordingly, the user device may be configured to collect usage data from the vaporizer device and generate recommendations to enhance and/or expedite the transition from traditional combustible cigarettes to the vaporizer device. For example, the user device may provide puff coaching to enable a more satisfying initial experience. Alternatively and/or additionally, the user device may recommend pod types and/or puff patterns that are associated with a reduction in overall intake.

Abstract: Method, system, and computer program product are provided for scoring of crowd-computing inputs. A group of data is provided to crowd-computing participants and the participants are requested to provide candidate members or the group of data. The computer-implemented method performed includes: receiving an input by a participant, wherein the input is a candidate member; counting multiple inputs of the same candidate member by participants; validating a candidate member; rewarding the participants inputting the candidate member, with a higher reward for participants who input the candidate member earlier than other participants; and supplying the rewards to participants once the candidate member has been validated.

Abstract: A method, system, and computer program product for gap filling in a social network are provided. The method includes providing details of one or more current online users in a game in which users are scored for their input. A person is selected from candidates for whom additional information is required in a social network, including: weighting candidates who have a strong relationship with a current online user in the game; and weighting candidates for whom there is little existing data in the social network. The method includes identifying the selected person to a current online user; receiving information input by a current online user relating to the selected person; and scoring the information input by a current online user.

Abstract: Method, system, and computer program product are provided for scoring of crowd-computing inputs. A group of data is provided to crowd-computing participants and the participants are requested to provide candidate members or the group of data. The computer-implemented method performed includes: receiving an input by a participant, wherein the input is a candidate member; counting multiple inputs of the same candidate member by participants; validating a candidate member; rewarding the participants inputting the candidate member, with a higher reward for participants who input the candidate member earlier than other participants; and supplying the rewards to participants once the candidate member has been validated.

Abstract: A method, system, and computer program product for gap filling in a social network are provided. The method includes providing details of one or more current online users in a game in which users are scored for their input. A person is selected from candidates for whom additional information is required in a social network, including: weighting candidates who have a strong relationship with a current online user in the game; and weighting candidates for whom there is little existing data in the social network. The method includes identifying the selected person to a current online user; receiving information input by a current online user relating to the selected person; and scoring the information input by a current online user.