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A Cost Reduction Method in Crowdsourced Top-k Query

A crowdsourcing, cost-effective technology, applied in the fields of instrumentation, computing, electrical and digital data processing, etc., can solve the problems of high cost and heavy workload, and achieve the effect of reducing the comparison workload and cost

Active Publication Date: 2021-07-13
JIUJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a cost-reducing method in crowdsourcing TOP-k query, which solves the problems of heavy comparison workload and higher cost in prior art methods

Method used

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  • A Cost Reduction Method in Crowdsourced Top-k Query
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  • A Cost Reduction Method in Crowdsourced Top-k Query

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Embodiment Construction

[0023] A method for reducing costs in crowdsourcing TOP-k queries, the method comprising the following steps:

[0024] (1) First divide the problem into several small tasks, publish them to users for scoring through the crowdsourcing platform, and obtain the user's judgment preference: Divide the problem into several small tasks, and release them to users for scoring through the crowdsourcing platform. Grading judgment scoring rules, that is, each user can score each item, and the score must be in a scoring interval V(G * i ,G * j )∈[-1,1], the score represents the user’s preference in these two items; obviously, if each user gives a different scoring mechanism, the resulting score will vary too much, and the result is not In line with reality, its absolute value indicates its degree of preference, for G * i ,G * j After all comparisons are complete, the W i,j workload, correspondingly generate a preference value package V i,j ={V 1 (G i ,G j ),……,V Wi,j (G i ,G ...

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Abstract

A method for reducing costs in crowdsourcing TOP‑k queries, the method comprising the following steps: firstly divide the problem into several small tasks, release them to users for scoring through the crowdsourcing platform, and obtain the user's judgment preference; then, according to the obtained preference The package performs selection partition sorting on the items; finally the final top‑k results are obtained. This method reduces the workload of comparison, thereby achieving the purpose of reducing costs.

Description

technical field [0001] The invention relates to a cost reduction method in crowdsourcing TOP-k query. Background technique [0002] Recently, crowdsourcing has been used for various database queries, including maximum query, join query, and Top-k query. In this paper, crowdsourced Top-k queries are mainly collected. Among them, people play a decisive role in the sorting results of itemsets. Top-k query has been applied in many aspects such as online translation, adverse drug reaction evaluation, ranking list and so on. [0003] Crowdsourced Top-k queries are things that computers are bad at, but humans can give better answers to. Most of these require certain knowledge or natural feelings to judge. These are things that computers cannot judge but are extremely simple things for people who have the ability to respond. It is mainly divided into two parts. First, a number of small tasks are distributed to users through the crowdsourcing platform, and users make judgments a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/2458
Inventor 崔宗敏高宇喻静
Owner JIUJIANG UNIV