Jan 10, 2020 · In this paper, we consider dividing tasks into clusters (ie, topics) based on workers' behaviors and propose a novel latent topic model to describe the topic ...
Nov 17, 2018 · In this paper, we consider dividing tasks into clusters (i.e., topics) based on workers' behaviors, then propose a Bayesian latent topic model ...
In this paper, we consider dividing tasks into clusters (i.e., topics) based on workers' behaviors and propose a novel latent topic model to describe the topic ...
A reliability model that precisely describes workers' performance on the tasks can benefit the development of both task assignment mechanism and truth discovery ...
Quality-Aware Online Task Assignment Using Latent Topic Model ... Authors: Yang Du; Yu-E Sun; He Huang; Liusheng Huang; Hongli Xu; Xiaocan Wu. List of references.
Quality-Aware Online Task Assignment Using Latent Topic Model: 12th International Conference, AAIM 2018, Dallas, TX, USA, December 3–4, 2018, Proceedings.
We propose a bayesian probabilistic model named Gaussian Latent Topic Model(GLTM) to mine the latent topics of numerical tasks based on workers' behaviors.
Sep 18, 2023 · Quality-aware Online Task Assignment Using Latent Topic Model[C]. in Proc. of AAIM 2018, Dallas, US, 2018. [7] Zhuan Shi, Shanyang Jiang ...
[PDF] DOCS: Domain-Aware Crowdsourcing System - VLDB Endowment Inc.
www.vldb.org › vol10 › p361-zheng
In this paper, we study how to leverage domain knowledge to accu- rately model a worker's quality. We examine using knowledge base. (KB), e.g., Wikipedia and ...
Yang Du, Yu-e Sun, He Huang, Liusheng Huang, Hongli Xu, Xiaocan Wu: Quality-Aware Online Task Assignment Using Latent Topic Model. AAIM 2018: 124-135.