2026-10-13T17:02:42Z https://www.scidb.cn/oai

10.57760/sciencedb.j00133.00276 2024-07-26T16:47:32Z

2024-07-26 Dataset of Service Providers’ Participation Motivations in Skill-Based Crowdsourcing doi:10.57760/sciencedb.j00133.00276 en This dataset covers all successfully completed bidding tasks from epwk.com from November 2017 to November 2022, with a total of 2385 service provider information (involving 15641 corresponding bidding documents). The main row and column labels in the data table have the following meanings: 1. Bidding frequency (bid): The number of tasks participated in, that is, the number of tasks each service provider participated in the bidding process; 2. Hobbies(hob): Skill task similarity, constructing a TF-IDF model based on service provider skill labels and task titles, and calculating text similarity; 3. Competency (com): past task similarity, building a BERT fine-tuning model based on all task titles participated by the service provider, and calculating text similarity; 4. Bonus stimulation (bon): The reward amount, the average reward amount for service providers participating in tasks; 5. Task attraction (att): task detail, task requirements, and the number of text characters supplemented by the requirements; 6. Ability exercise (abi): Service provider capabilities, service provider capability product level; 7. Reputation and Reputation (rep): Service Provider Credit, Service Provider Credit Rating; 8. Social recognition (soc): positive review rate, service provider positive review rate; 9. Task difficulty (dif): The ratio of the number of bidders to the number of viewers, and the ratio of the number of bidders and viewers participating in the task by the service provider.  Skill-based crowdsourcing; Participation motivation; Service provider; Machine learning Wang Xiaolun PUBLIC https://opendatacommons.org/licenses/by/1-0/ dataset Science Data Bank