Abstract: Disclosed embodiments illustrate methods and systems implementable on a computing device for training a crowdworker on one or more skill sets. The crowdworker attempts a first set of tasks. The method includes determining an expertise gap between a current level of expertise possessed by the crowdworker in the one or more skill sets and a required level of expertise in the one or more skill sets. Further, the method includes determining a number of training tasks that the crowdworker has to complete to achieve the required level of expertise in the one or more skill sets. At least one training task pertaining to the one or more skill sets is assigned along with the first set of tasks such that the crowdworker gets trained on the one or more skill sets in a predetermined period without violating a service level agreement associated with the first set of tasks.

Abstract: Disclosed embodiments illustrate methods and systems implementable on a computing device for training a crowdworker on one or more skill sets. The crowdworker attempts a first set of tasks. The method includes determining an expertise gap between a current level of expertise possessed by the crowdworker in the one or more skill sets and a required level of expertise in the one or more skill sets. Further, the method includes determining a number of training tasks that the crowdworker has to complete to achieve the required level of expertise in the one or more skill sets. At least one training task pertaining to the one or more skill sets is assigned along with the first set of tasks such that the crowdworker gets trained on the one or more skill sets in a predetermined period without violating a service level agreement associated with the first set of tasks.

Abstract: According to embodiments illustrated herein there is provided methods and systems implementable on a computing device for remunerating one or more crowdworkers. The method comprising allotting at least one crowdworker from the one or more crowdworkers with a first lottery ticket from a set of lottery tickets on completion of a task allocated to the at least one crowdworker. One or more lottery tickets from the set of lottery tickets are selected by utilizing one or more techniques. Winnings are remunerated to each of a set of crowdworkers from the one or more crowdworkers associated with the one or more selected lottery tickets.

Abstract: A method and system for recommending one or more tasks from a plurality of crowdsourcing tasks to a crowdworker is disclosed. The method includes identifying one or more categories for the plurality of tasks on the plurality of crowdsourcing platforms. In response to the identifying, determining, at a login time, values of one or more utility parameters of the crowdworker corresponding to the one or more categories. After identifying, the method selects the one or more tasks from the plurality of tasks by choosing one or more constraints on the determined values of the one or more utility parameters of the crowdworker. The method then recommends to the crowdworker at the login time, the one or more tasks associated with the crowdworker based on selected one or more tasks.

Abstract: A method and system for managing allocation of tasks to a plurality of crowdsourcing arms is disclosed. The method includes distributing a set of tasks to the plurality of crowdsourcing arms based on a predefined condition. In response to the distributing, a verification data corresponding to the plurality of crowdsourcing arms is received after a predefined interval. The predefined condition is then updated based on the verification data received. Further, the set of tasks among the plurality of crowdsourcing arms are redistributed based on the updated predefined condition.

Abstract: Disclosed embodiments illustrate methods and systems implementable on a computing device for training a crowdworker on one or more skill sets. The crowdworker attempts a first set of tasks. The method includes determining an expertise gap between a current level of expertise possessed by the crowdworker in the one or more skill sets and a required level of expertise in the one or more skill sets. Further, the method includes determining a number of training tasks that the crowdworker has to complete to achieve the required level of expertise in the one or more skill sets. At least one training task pertaining to the one or more skill sets is assigned along with the first set of tasks such that the crowdworker gets trained on the one or more skill sets in a predetermined period without violating a service level agreement associated with the first set of tasks.

Abstract: A method and system for scheduling allocation of a plurality of tasks to a service platform is disclosed. The method includes allocating a current batch of tasks from the plurality of tasks to the service platform based on an optimization model. The method further includes updating the optimization model after at least one of an expiry of a predefined time interval or receiving the responses for the current batch of tasks.

Abstract: According to embodiments illustrated herein there is provided methods and systems implementable on a computing device for remunerating one or more crowdworkers. The method comprising allotting at least one crowdworker from the one or more crowdworkers with a first lottery ticket from a set of lottery tickets on completion of a task allocated to the at least one crowdworker. One or more lottery tickets from the set of lottery tickets are selected by utilizing one or more techniques. Winnings are remunerated to each of a set of crowdworkers from the one or more crowdworkers associated with the one or more selected lottery tickets.

Abstract: A method and system for recommending one or more tasks from a plurality of crowdsourcing tasks to a crowdworker is disclosed. The method includes identifying one or more categories for the plurality of tasks on the plurality of crowdsourcing platforms. In response to the identifying, determining, at a login time, values of one or more utility parameters of the crowdworker corresponding to the one or more categories. After identifying, the method selects the one or more tasks from the plurality of tasks by choosing one or more constraints on the determined values of the one or more utility parameters of the crowdworker. The method then recommends to the crowdworker at the login time, the one or more tasks associated with the crowdworker based on selected one or more tasks.

Abstract: A method and system for managing allocation of tasks to a plurality of crowdsourcing arms is disclosed. The method includes distributing a set of tasks to the plurality of crowdsourcing arms based on a predefined condition. In response to the distributing, a verification data corresponding to the plurality of crowdsourcing arms is received after a predefined interval. The predefined condition is then updated based on the verification data received. Further, the set of tasks among the plurality of crowdsourcing arms are redistributed based on the updated predefined condition.