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KEYWORD_EN:human–machine interface
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1. Analyzing Crowdsourced Mobile Content: Do Games Make a Difference?
Pe-Than, Ei Pa Pa;Goh, Dion Hoe-Lian;Lee, Chei Sian;
Journal of Information Science Theory and Practice, vol. 5, iss. 2, 2017, pp. 6-16
Pe-Than, Ei Pa Pa;Goh, Dion Hoe-Lian;Lee, Chei Sian;
Journal of Information Science Theory and Practice, vol. 5, iss. 2, 2017, pp. 6-16
2. Job Satisfaction among Library and Information Science Professionals in India: A Case Study
Pandita, Ramesh;
Journal of Information Science Theory and Practice, vol. 5, iss. 1, 2017, pp. 47-64
Pandita, Ramesh;
Journal of Information Science Theory and Practice, vol. 5, iss. 1, 2017, pp. 47-64
3. Study of Machine-Learning Classifier and Feature Set Selection for Intent Classification of Korean Tweets about Food Safety
Yeom, Ha-Neul;Hwang, Myunggwon;Hwang, Mi-Nyeong;Jung, Hanmin;
Journal of Information Science Theory and Practice, vol. 2, iss. 3, 2014, pp. 29-39
Yeom, Ha-Neul;Hwang, Myunggwon;Hwang, Mi-Nyeong;Jung, Hanmin;
Journal of Information Science Theory and Practice, vol. 2, iss. 3, 2014, pp. 29-39
4. Interactive Information Retrieval: An Introduction
Borlund, Pia;
Journal of Information Science Theory and Practice, vol. 1, iss. 3, 2013, pp. 12-32
Borlund, Pia;
Journal of Information Science Theory and Practice, vol. 1, iss. 3, 2013, pp. 12-32
5. Domain Adaptation for Opinion Classification: A Self-Training Approach
Yu, Ning;
Journal of Information Science Theory and Practice, vol. 1, iss. 1, 2013, pp. 10-26
Yu, Ning;
Journal of Information Science Theory and Practice, vol. 1, iss. 1, 2013, pp. 10-26
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