Abstract: The disclosed embodiments illustrate methods and systems for creating one or more tasks of digitizing an electronic document. The electronic document comprises one or more fields. The method comprising receiving inputs to define one or more characteristics associated with each of the one or more fields. The one or more fields are categorized in one or more groups based on the one or more characteristics. Additionally, a task is created for each of the one or more categorized fields based on the one or more characteristics associated with each of the one or more categorized fields, wherein the task comprises at least a user interface for facilitating at least one remote worker to input a response for the task.

Abstract: The disclosed embodiments illustrate methods and systems for crowdsourcing a task. The method comprises presenting the task to one or more crowdworkers based on their reputation scores and a redundancy degree associated with the task. The task comprises one or more sub-tasks. A plurality of responses to the task are received from the one or more crowdworkers. Each response further comprises one or more sub-responses each of which in turn corresponds to a response for a sub-task of the one or more sub-tasks. A first set of sub-tasks is identified from the one or more sub-tasks based on a first set of similar sub-responses received for the first set of sub-tasks from the plurality of responses. A first set of crowdworkers from the one or more crowdworkers who provided the first set of similar sub-responses for the first set of sub-tasks are remunerated.

Abstract: A method and a system for detecting anomalies within a voluminous private data are provided. The voluminous private data, including sensitive information corresponding to one or more objects within the voluminous private data is received. The sensitive information within the voluminous private data is identified, and identified sensitive information is modified to generate a modified voluminous private data. The sensitive information is marked in the modified voluminous private data to generate a marked voluminous private data. The anomaly within the marked voluminous private data is detected.

Abstract: A method for processing an electronic document is provided. The electronic document includes a plurality of text fields and a text label associated with each of the plurality of text fields. The method includes step of extracting the plurality of text fields from the electronic document. The method includes step of grouping the plurality of extracted text fields to generate a plurality of groups. The method includes step of labeling the plurality of groups based on a first pre-defined criteria to generate a plurality of labeled groups. The method includes step of distributing the plurality of labeled groups in a plurality of queues based on a second pre-defined criteria. The method includes step of transmitting the plurality of labeled groups from the plurality of queues to one or more crowdworkers based on a third pre-defined criteria.

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: The disclosed embodiments relates to a crowdsourcing directory system. The crowdsourcing directory system is configured for identifying and comparing one or more of a plurality of crowdsourcing platforms based on a plurality of attributes associated with each of the plurality of crowdsourcing platforms. The crowdsourcing directory system then recommends a set of crowdsourcing platforms from the one or more crowdsourcing platforms based on values of the plurality of attributes. The crowdsourcing directory system also maintains a repository of information pertaining to the plurality of crowdsourcing platforms. In an embodiment, the repository may be updated by implementing software adaptors configured to extract various information pertaining to the plurality of crowdsourcing platforms.

Abstract: A method for processing an electronic document is provided. The electronic document includes a plurality of text fields and a text label associated with each of the plurality of text fields. The method includes step of extracting the plurality of text fields from the electronic document. The method includes step of grouping the plurality of extracted text fields to generate a plurality of groups. The method includes step of labeling the plurality of groups based on a first pre-defined criteria to generate a plurality of labeled groups. The method includes step of distributing the plurality of labeled groups in a plurality of queues based on a second pre-defined criteria. The method includes step of transmitting the plurality of labeled groups from the plurality of queues to one or more crowdworkers based on a third pre-defined criteria.

Abstract: A method and a system for detecting anomalies within a voluminous private data are provided. The voluminous private data, including sensitive information corresponding to one or more objects within the voluminous private data is received. The sensitive information within the voluminous private data is identified, and identified sensitive information is modified to generate a modified voluminous private data. The sensitive information is marked in the modified voluminous private data to generate a marked voluminous private data. The anomaly within the marked voluminous private data is detected.

Abstract: The application discloses multi-iterative crowdsourcing systems and methods. Improvements and validations of a crowdsourced job are integrated into the execution process. A job is completed in multiple iterations, with incentives, including reputation enhancements, being provided to users at each iteration. The crowdsourcer has the flexibility to determine the number of iterations, the duration of a job and the incentives and reputation enhancements for each iteration and function.

Abstract: A method and system for recommending suitability of crowdsourcing a business process is provided. The method includes generating a plurality of business requirements pertaining to the business processes, and receiving one or more attributes pertaining to one or more sets of crowdsourced workforce. The method further includes generating at least one of a comparison matrix or an optimization function based on the plurality of business requirements and the one or more attributes pertaining to one or more sets of crowdsourced workforce. Lastly, the method provides a recommendation on the suitability of crowdsourcing the business process based on at least one of the comparison matrix or the optimization function.

Abstract: A method for processing application forms comprising extracting content from filled first forms of consumers, each of the first forms comprising one or more fields, arranging the extracted content of one or more fields of the plurality of fields of the plurality of filled first forms in a first matrix; encoding the content of each of the rows of the first matrix to define a second matrix; and disposing the encoded content of the second matrix in multiple empty second forms such that content of one column is disposed on only one of the empty second forms, each of the second forms includes the same type and number of fields as that of one of the filled first forms, further wherein the number of the filled second forms is based on the number of the one or more fields in the filled first forms.

Abstract: The application discloses systems and methods for evaluating bids submitted by providers in response to a reverse auction process initiated by a buyer. The disclosed system determines an attribute utility score of the bid and total performance scores of providers based on the past performance records of the providers. The total performance scores of providers are determined by computing a positive deviation score, a negative deviation score, a performance among peers score, and a bid performance score of the provider. The system further sums the determined attribute utility score and the total performance score to obtain a rank of the submitted bid.