METHOD AND SYSTEM FOR PRESENTING DIGITAL TASK IMPLEMENTED IN COMPUTER-IMPLEMENTED CROWD-SOURCED ENVIRONMENT

1 . A computer-implemented method for presenting a digital task in a computer-implemented crowd-sourced environment, the computer implemented environment being associated with a plurality of digital tasks to be executed by one or more of a plurality of crowd-sourced workers, the plurality of digital tasks including the digital task, the method being executed by a server, the method comprising:

receiving, by the server, from an electronic device associated with a given crowd-sourced worker an indication of a desire to complete one or more digital tasks;

generating, by the server, a subset of digital tasks from the plurality of digital tasks, for presentation on the electronic device;

for each of the subset of digital tasks, determining, by a server, an exposure parameter, the exposure parameter being indicative of a number of crowd-sourced workers a given one of the subset of digital tasks has been exposed to;

generating, by the server, a ranked list of the subset of digital tasks, the generating including:

generating a first ranked list of the subset of digital tasks;

based on the exposure parameter of the given one of the subset of digital tasks not meeting a pre-determined threshold, promoting a rank of the given one of the subset of digital tasks to generate a final ranked list, where the rank of the given one of the subset of digital tasks is higher than in the first ranked list;

transmitting, by the server, the final ranked list to the electronic device for displaying thereon;

receiving, by the server, a crowd-sourced worker response to at least one of the digital tasks in the final ranked list.

2 . The method of claim 1 , wherein the generating the subset of digital tasks comprises receiving, by the server, a filter request from the electronic device, and wherein the generating the subset of digital tasks comprises selecting the subset of digital tasks based on the filter request.

3 . The method of claim 1 , wherein the exposure parameter is based on a pre-determined exposure event.

4 . The method of claim 3 , wherein the pre-determined exposure event is at least one of: a screen-showing event to any one of the plurality of crowd-sourced workers, a click event, and a task completion event.

5 . The method of claim 4 , further comprising updating the exposure parameter for the given one of the subset of digital tasks based on the crowd-sourced worker response.

6 . The method of claim 5 , further comprising updating the exposure parameter for other digital tasks of the subset of digital tasks based on the crowd-sourced worker response.

7 . The method of claim 4 , wherein the exposure parameter is based on two or more pre-determined exposure events.

8 . The method of claim 7 , wherein the two or more pre-determined exposure events are weighted.

9 . The method of claim 1 , wherein the pre-determined threshold is a normal distribution of exposure parameters in a normally distributed subset of the plurality of digital tasks.

10 . The method of claim 9 , wherein the method further comprises generating an actual exposure parameters distribution of the subset of the plurality of digital tasks and the normally distributed subset of the plurality of digital tasks, and wherein the exposure parameter not meeting the threshold comprises the exposure parameter of the given task is being abnormally placed in the actual exposure parameters distribution of the subset of the plurality of digital tasks.

11 . The method of claim 10 , wherein being abnormally placed is indicative of abnormal exposure parameters of the given one of the subset of digital tasks given one or more task parameters of the given one of the subset of digital tasks.

12 . The method of claim 1 , wherein the pre-determined threshold is a value indicative of desired past exposure events and a total exposure volume including past exposure events and desired future exposure events.

13 . The method of claim 1 , wherein the promoting the rank of the given one of the subset of digital tasks is further based on a crowd-sourced worker preference parameter.

14 . The method of claim 13 , wherein the promoting is based on optimizing one or both of the exposure parameter and the crowd-sourced worker preference parameter.

15 . The method of claim 14 , wherein the optimizing is executed by a Machine Learning Algorithm (MLA).

16 . The method of claim 1 , wherein the generating the first ranked list comprises generating randomly generated ranks.

17 . The method of claim 1 , wherein the generating the first ranked list comprises generating a rank based on preferences of the given crowd-sourced worker.

18 . A system for presenting a digital task in a computer-implemented crowd-sourced environment, the computer implemented environment being associated with a plurality of digital tasks to be executed by one or more of a plurality of crowd-sourced workers, the plurality of digital tasks including the digital task, the system comprising a server, the server comprising a processor configured to:

receive from an electronic device associated with a given crowd-sourced worker an indication of a desire to complete one or more digital tasks;

generate a subset of digital tasks from the plurality of digital tasks, for presentation on the electronic device;

for each of the subset of digital tasks, determine, an exposure parameter, the exposure parameter being indicative of a number of crowd-sourced workers a given one of the subset of digital tasks has been exposed to;

generate, a ranked list of the subset of digital tasks, the generating including:

generating a first ranked list of the subset of digital tasks;

based on the exposure parameter of the given one of the subset of digital tasks not meeting a pre-determined threshold, promoting a rank of the given one of the subset of digital tasks to generate a final ranked list, where the rank of the given one of the subset of digital tasks is higher than in the first ranked list;

transmit, the final ranked list to the electronic device for displaying thereon;

receive, a crowd-sourced worker response to at least one of the digital tasks in the final ranked list.

19 . The system of claim 18 , wherein to generate the subset of digital tasks, the processor is configured to receive a filter request from the electronic device, and wherein the generating the subset of digital tasks comprises selecting the subset of digital tasks based on the filter request.

20 . The system of claim 18 , wherein the exposure parameter is based on a pre-determined exposure event.