Towards an Effective Crowdsourcing Recommendation System: A Survey of the State-of-the-Art

Author:

Aldhahri Eman,Shandilya Vivek,Shiva Sajjan

Publisher

IEEE

Cited by 26 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. IMRSG: Incentive Mechanism Based on Rubinstein-Starr Game for Mobile CrowdSensing;IEEE Transactions on Vehicular Technology;2023

2. Joint modelling of task requirements and worker preferences based on heterogeneous features and multiple interactions for knowledge-intensive crowdsourcing recommendation;International Journal of Bio-Inspired Computation;2023

3. Group Task Recommendation in Mobile Crowdsensing: An Attention-Based Neural Collaborative Approach;IEEE Transactions on Mobile Computing;2023

4. Canopy�K-means Combined Collaborative Filtering Using RMSE-minimization;2022 IEEE International Conference on Big Data and Smart Computing (BigComp);2022-01

5. Task Assignment and Personality;Research Anthology on Agile Software, Software Development, and Testing;2022

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