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Worker-Job Recommendation for Mixed Crowdsourcing Systems
Mapping Intimacies
◽
10.17918/etd-7815
◽
2021
◽
Author(s):
Julian Jarrett
Keyword(s):
Job Recommendation
Download Full-text
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2021
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Keyword(s):
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Ontology-based job recommendation system with dynamic source updates by slowly changing source detection
International Journal of Knowledge Engineering and Soft Data Paradigms
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10.1504/ijkesdp.2016.084595
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2016
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Vol 5
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pp. 164
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Machine learned job recommendation
Proceedings of the fifth ACM conference on Recommender systems - RecSys '11
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10.1145/2043932.2043994
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Ioannis Paparrizos
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Aristides Gionis
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Job Recommendation
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Adaptive methods for job recommendation based on user clustering
2016 3rd National Foundation for Science and Technology Development Conference on Information and Computer Science (NICS)
◽
10.1109/nics.2016.7725643
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2016
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Cited By ~ 2
Author(s):
Quoc-Dung Nguyen
◽
Tin Huynh
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Tu-Anh Nguyen-Hoang
Keyword(s):
Adaptive Methods
◽
User Clustering
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Job Recommendation
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Ontology-based job recommendation system with dynamic source updates by slowly changing source detection
International Journal of Knowledge Engineering and Soft Data Paradigms
◽
10.1504/ijkesdp.2016.10005487
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2016
◽
Vol 5
(3/4)
◽
pp. 164
Author(s):
Selvarajan Saraswathi
◽
Uma Pavan Kumar Kethavarapu
Keyword(s):
Recommendation System
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Source Detection
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Dynamic Source
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Job Recommendation
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Hybrid deep collaborative filtering for job recommendation
2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA)
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10.1109/ciapp.2017.8167222
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2017
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Author(s):
Weijian Chen
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Xingming Zhang
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Haoxiang Wang
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Hongjie Xu
Keyword(s):
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Job Recommendation
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The analysis and design of the job recommendation model based on GBRT and time factors
2016 IEEE International Conference on Knowledge Engineering and Applications (ICKEA)
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10.1109/ickea.2016.7802987
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Yingtong Dou
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Yang Xin
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Time Factors
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Analysis And Design
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Model Based
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Job Recommendation
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A combination of simple models by forward predictor selection for job recommendation
Proceedings of the Recommender Systems Challenge on - RecSys Challenge '16
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10.1145/2987538.2987548
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2016
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Author(s):
Dávid Zibriczky
Keyword(s):
Job Recommendation
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Simple Models
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A bottom-up approach to job recommendation system
Proceedings of the Recommender Systems Challenge on - RecSys Challenge '16
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10.1145/2987538.2987546
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2016
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Author(s):
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◽
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Recommendation System
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Bottom Up
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Applying Classifications Techniques in Job Recommendation System for Matching of Candidates and Advertisements
International Journal of Intelligent Computing Research
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10.20533/ijicr.2042.4655.2017.0098
◽
2017
◽
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◽
pp. 798-806
◽
Cited By ~ 1
Author(s):
Gözde Özcan
◽
Sule Gündüz Ögüdücü
Keyword(s):
Recommendation System
◽
Job Recommendation
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