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A task crowdsourcing distribution processing method based on personalized bidding excitation

A technology for assigning processing and tasks, applied in data processing applications, instruments, calculations, etc., can solve problems such as ignoring diverse preferences

Pending Publication Date: 2019-06-21
CHONGQING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, most of the current research mainly designs tasks and reward distribution mechanisms from the perspective of the platform, thus ignoring the diverse preferences of users in bidding from the perspective of users.

Method used

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  • A task crowdsourcing distribution processing method based on personalized bidding excitation
  • A task crowdsourcing distribution processing method based on personalized bidding excitation
  • A task crowdsourcing distribution processing method based on personalized bidding excitation

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Embodiment Construction

[0056] The task crowdsourcing allocation processing method based on personalized bidding incentives of the present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0057] In actual crowd sensing scenarios, users often have different bidding preferences due to their different perception capabilities, hobbies, and scenarios (such as time, space, and current events, etc.). Therefore, they expect to be able to conduct personalized bidding (Personalized bidding) according to their own personal preferences. by figure 2 Take the traffic route work task shown as an example, the crowdsourcing service platform releases 5 tasks in different locations, and use τ j , j={1,...,5}. There are 4 users who want to participate and complete these 5 crowd sensing tasks. However, they have different preferences due to different interests and backgrounds. For example, if figure 2 As shown by the dark gray line in , Bob will go t...

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Abstract

The invention provides a task crowdsourcing allocation processing method based on personalized bidding incentive, which comprises the following steps of: in the description design of a set task bidding book, allowing a user to use a bidding allocation relation to individually constrain a bidding allocation principle among bidding units contained in the task bidding book; Allocating and processingthe to-be-processed tasks, establishing the bidding corresponding relation between the to-be-processed task and the task bidding book set by the user, selecting one bidding unit with the optimal costperformance from the task bidding books capable of meeting the bidding distribution relation requirements as a bidding winning book, establishing a full task packet and allocating the full task packetto a corresponding user for processing; Therefore, the personalized and flexible requirements of the user on task bidding distribution can be better met, and through the description design of the task bidding book and the task decomposition design of the task distribution processing, the function usability and the effectiveness and feasibility of the task distribution processing are better considered.

Description

technical field [0001] The invention relates to the technical field of Internet task distribution, in particular to a task crowdsourcing distribution processing method based on personalized bidding incentives. Background technique [0002] With the increasingly powerful and popular sensing functions of mobile smart devices, as well as the rapid development of Internet and wireless communication technologies, the crowdsourcing mode of crowd sensing has emerged as the times require, and has received more and more attention, and has also produced a large number of crowdsourcing models. Intelligent perception system and crowdsourcing service platform. The crowdsourcing model completes tasks to be processed by integrating mobile smart devices and Internet crowd-sensing users. At present, it has been widely used in technical service fields such as information retrieval, artificial intelligence, knowledge mining, urban transportation, and human-computer interactive learning. For s...

Claims

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Application Information

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IPC IPC(8): G06Q30/08G06Q10/06
Inventor 向朝参陈超刘凯冯亮
Owner CHONGQING UNIV
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