Recommendation of Crowdsourcing Tasks Based on Word2vec Semantic Tags
Joint Authors
Cai, Zhipeng
Pan, Qingxian
Dong, Hongbin
Wang, Yingjie
Zhang, Lizong
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-03-24
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
Crowdsourcing is the perfect show of collective intelligence, and the key of finishing perfectly the crowdsourcing task is to allocate the appropriate task to the appropriate worker.
Now the most of crowdsourcing platforms select tasks through tasks search, but it is short of individual recommendation of tasks.
Tag-semantic task recommendation model based on deep learning is proposed in the paper.
In this paper, the similarity of word vectors is computed, and the semantic tags similar matrix database is established based on the Word2vec deep learning.
The task recommending model is established based on semantic tags to achieve the individual recommendation of crowdsourcing tasks.
Through computing the similarity of tags, the relevance between task and worker is obtained, which improves the robustness of task recommendation.
Through conducting comparison experiments on Tianpeng web dataset, the effectiveness and applicability of the proposed model are verified.
American Psychological Association (APA)
Pan, Qingxian& Dong, Hongbin& Wang, Yingjie& Cai, Zhipeng& Zhang, Lizong. 2019. Recommendation of Crowdsourcing Tasks Based on Word2vec Semantic Tags. Wireless Communications and Mobile Computing،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1212021
Modern Language Association (MLA)
Pan, Qingxian…[et al.]. Recommendation of Crowdsourcing Tasks Based on Word2vec Semantic Tags. Wireless Communications and Mobile Computing No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1212021
American Medical Association (AMA)
Pan, Qingxian& Dong, Hongbin& Wang, Yingjie& Cai, Zhipeng& Zhang, Lizong. Recommendation of Crowdsourcing Tasks Based on Word2vec Semantic Tags. Wireless Communications and Mobile Computing. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1212021
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1212021