Mohammadreza Tavakoli
Mohammadreza Tavakoli
TIB – Leibniz Information Centre for Science and Technology, Hannover, Germany
Verified email at tib.eu
Title
Cited by
Cited by
Year
Customer segmentation and strategy development based on user behavior analysis, RFM model and data mining techniques: a case study
M Tavakoli, M Molavi, V Masoumi, M Mobini, S Etemad, R Rahmani
2018 IEEE 15th International Conference on e-Business Engineering (ICEBE …, 2018
102018
Improving the quality of code snippets in stack overflow
MR Tavakoli, A Heydarnoori, M Ghafari
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 1492-1497, 2016
62016
Quality Prediction of Open Educational Resources A Metadata-based Approach
M Tavakoli, M Elias, G Kismihók, S Auer
arXiv preprint arXiv:2005.10542, 2020
52020
A Recommender System For Open Educational Videos Based On Skill Requirements
M Tavakoli, S Hakimov, R Ewerth, G Kismihók
arXiv preprint arXiv:2005.10595, 2020
32020
Labour Market Information Driven, Personalized, OER Recommendation System for Lifelong Learners
M Tavakoli, ST Mol, G Kismihók
arXiv preprint arXiv:2005.07465, 2020
22020
An OER Recommender System Supporting Accessibility Requirements
M Elias, M Tavakoli, S Lohmann, G Kismihok, S Auer
The 22nd International ACM SIGACCESS Conference on Computers and …, 2020
2020
Quality Evaluation of Open Educational Resources
M Elias, A Oelen, M Tavakoli, G Kismihok, S Auer
European Conference on Technology Enhanced Learning, 410-415, 2020
2020
Extracting Topics from Open Educational Resources
M Molavi, M Tavakoli, G Kismihók
European Conference on Technology Enhanced Learning, 455-460, 2020
2020
Improving Quality of a Post's Set of Answers in Stack Overflow
M Tavakoli, M Izadi, A Heydarnoori
arXiv preprint arXiv:2006.00341, 2020
2020
OER Recommendations to Support Career Development
M Tavakoli, A Faraji, ST Mol, G Kismihók
arXiv preprint arXiv:2006.00365, 2020
2020
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