A task recommendation scheme for crowdsourcing based on expertise estimation-Reference-Cited by-同舟云学术

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A task recommendation scheme for crowdsourcing based on expertise estimation

Published:2020-05 Issue: Volume:41 Page:100946
ISSN:1567-4223
Container-title:Electronic Commerce Research and Applications
language:en
Short-container-title:Electronic Commerce Research and Applications

Author:

Kurup Ayswarya R.,Sajeev G.P.

Publisher

Elsevier BV

Subject

Management of Technology and Innovation,Marketing,Computer Networks and Communications,Computer Science Applications

Reference40 articles.

1. Crowdsourcing multi-objective recommendation system;Aldahari,2018

2. Towards an effective crowdsourcing recommendation system: a survey of the state-of-the-art;Aldhahri,2015

3. Personalized and diverse task composition in crowdsourcing;Alsayasneh;IEEE Trans. Knowl. Data Eng.,2018

4. Location-based crowdsourcing: extending crowdsourcing to the real world;Alt,2010

5. Towards task recommendation in micro-task markets;Ambati;Human Comput.,2011

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2. TMETA: Trust Management for the Cold Start of IoT Services With Digital-Twin-Aided Blockchain;IEEE Internet of Things Journal;2023-12-15

3. A heterogeneous multi-relations-based method for knowledge-intensive service recommendation;Computers & Industrial Engineering;2023-07

4. A Novel Crowdsourcing Task Recommendation Method Considering Workers’ Fuzzy Expectations: A Case of ZBJ.COM;International Journal of Information Technology & Decision Making;2023-02-16

5. Simulation, modelling and classification of wiki contributors: Spotting the good, the bad, and the ugly;Simulation Modelling Practice and Theory;2022-11

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