FIELD: data processing.
SUBSTANCE: group of inventions relates to methods and systems for generating a list of digital tasks for an evaluator, in particular a list of digital tasks for an evaluator, which is part of a crowdsourced digital platform. Method and system for generating a list of digital tasks for an evaluator are implemented. Method includes receiving a request for a list of digital tasks from an evaluator, obtaining a plurality of available digital tasks, determining a parameter of the evaluator's interactions, obtaining an execution accuracy parameter, ranking the plurality of digital tasks in order to form a ranged set of digital tasks. Ranking is performed by optimization of the ranking quality parameter determined based on the combination of the user platform satisfaction parameter and the job owner platform satisfaction parameter, and selection from the ranked plurality of digital tasks of N digital tasks with the highest rank for their inclusion in the list of digital tasks.
EFFECT: wider range of technical solutions to a specific technical problem inherent in traditional crowdsourcing technology, namely assigning an unknown type of task to a human evaluator.
13 cl, 9 dwg
Title | Year | Author | Number |
---|---|---|---|
METHOD AND SYSTEM FOR GENERATING DIGITAL TASK LABEL BY MACHINE LEARNING ALGORITHM | 2022 |
|
RU2829151C2 |
METHOD AND SYSTEM FOR RANKING DIGITAL OBJECTS BASED ON TARGET CHARACTERISTIC RELATED TO THEM | 2019 |
|
RU2757174C2 |
SYSTEM AND METHOD FOR TRAINING MACHINE LEARNING MODELS FOR RANKING SEARCH RESULTS | 2023 |
|
RU2829065C1 |
TRAINING METHOD OF RATING MODULE USING THE TRAINING SELECTION WITH THE INTERFERENCE LABELS | 2016 |
|
RU2632143C1 |
METHOD AND SERVER FOR TRAINING MACHINE LEARNING ALGORITHM IN OBJECT RANKING | 2020 |
|
RU2782502C1 |
METHOD AND SYSTEM FOR GENERATING TRAINING DATA FOR MACHINE LEARNING ALGORITHM | 2023 |
|
RU2831408C2 |
METHOD AND A SYSTEM FOR DETERMINING THE RESULT OF A TASK IN THE CROWDSOURCING ENVIRONMENT | 2019 |
|
RU2744038C2 |
METHOD AND SERVER FOR TEACHING A NEURAL NETWORK TO FORM A TEXT OUTPUT SEQUENCE | 2020 |
|
RU2798362C2 |
METHOD AND SYSTEM FOR DETERMINING RESULT OF TASK EXECUTION IN CROWDSOURCED ENVIRONMENT | 2019 |
|
RU2744032C2 |
METHOD AND SYSTEM FOR EXPANDING SEARCH QUERIES IN ORDER TO RANK SEARCH RESULTS | 2018 |
|
RU2720905C2 |
Authors
Dates
2025-04-04—Published
2021-09-14—Filed