| One size does not fit all: Generating and evaluating variable number of keyphrases X Yuan, T Wang, R Meng, K Thaker, P Brusilovsky, D He, A Trischler arXiv preprint arXiv:1810.05241, 2018 | 132 | 2018 |
| Automatic Concept Extraction for Domain and Student Modeling in Adaptive Textbooks H Chau, I Labutov, K Thaker, D He, P Brusilovsky http://dx.doi.org/10.13140/RG.2.2.34323.96808, 2020 | 64 | 2020 |
| Bringing structure into summaries: a faceted summarization dataset for long scientific documents R Meng, K Thaker, L Zhang, Y Dong, X Yuan, T Wang, D He arXiv preprint arXiv:2106.00130, 2021 | 50 | 2021 |
| Dynamic Knowledge Modeling with Heterogeneous Activities for Adaptive Textbooks K Thaker, Y Huang, P Brusilovsky, H Daqing The 11th International Conference on Educational Data Mining, 592-595, 2018 | 41 | 2018 |
| Recommending Remedial Readings Using Student Knowledge State. K Thaker, L Zhang, D He, P Brusilovsky International Educational Data Mining Society, 2020 | 35 | 2020 |
| Comprehension Factor Analysis: Modeling student's reading behaviour: Accounting for reading practice in predicting students' learning in MOOCs K Thaker, P Carvalho, K Koedinger Proceedings of the 9th International Conference on Learning Analytics …, 2019 | 30 | 2019 |
| The return of intelligent textbooks P Brusilovsky, S Sosnovsky, K Thaker AI Magazine 43 (3), 337-340, 2022 | 21 | 2022 |
| Generating diverse numbers of diverse keyphrases X Yuan, T Wang, R Meng, K Thaker, D He, A Trischler CoRR, abs, 2020 | 21 | 2020 |
| Using Knowledge Graph for Explainable Recommendation of External Content in Electronic Textbooks. B Rahdari, P Brusilovsky, K Thaker, J Barria-Pineda iTextbooks@ AIED, 50-61, 2020 | 18 | 2020 |
| Knowledge-driven wikipedia article recommendation for electronic textbooks B Rahdari, P Brusilovsky, K Thaker, J Barria-Pineda European Conference on Technology Enhanced Learning, 363-368, 2020 | 17 | 2020 |
| Knowledge annotation for intelligent textbooks M Wang, H Chau, K Thaker, P Brusilovsky, D He Technology, Knowledge and Learning, 1-22, 2023 | 15 | 2023 |
| Student Modeling with Automatic Knowledge Component Extraction for Adaptive Textbooks K Thaker, P Brusilovsky, D He AIED, 2019 | 15 | 2019 |
| Translation and Expansion: Enabling Laypeople Access to the COVID-19 Academic Collection D He, Z Wang, K Thaker, N Zou Data and Information Management 1 (ahead-of-print), 2020 | 13 | 2020 |
| Helper: an interactive recommender system for ovarian cancer patients and caregivers B Rahdari, P Brusilovsky, D He, KM Thaker, Z Luo, YJ Lee Proceedings of the 16th acm conference on recommender systems, 644-647, 2022 | 10 | 2022 |
| Concept enhanced content representation for linking educational resources KM Thaker, P Brusilovsky, D He 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI), 413-420, 2018 | 10 | 2018 |
| Exploring resource-sharing behaviors for finding relevant health resources: analysis of an online ovarian cancer community K Thaker, Y Chi, S Birkhoff, D He, H Donovan, L Rosenblum, ... JMIR cancer 8 (2), e33110, 2022 | 9 | 2022 |
| Categorizing open government data users by exploring their challenges and proficiency F Xiao, K Thaker, D He Chi conference on human factors in computing systems extended abstracts, 1-7, 2022 | 7 | 2022 |
| Concept annotation for intelligent textbooks M Wang, H Chau, K Thaker, P Brusilovsky, D He arXiv preprint arXiv:2005.11422, 2020 | 7 | 2020 |
| SiaKey: A Method for Improving Few-shot Learning with Clinical Domain Information Z Li, K Thaker, D He IEEE EMBS International Conference on Biomedical and Health Informatics, 2023 | 6 | 2023 |
| Knowledge acquisition and social support in online health communities: analysis of an online ovarian cancer community Y Chi, K Thaker, D He, V Hui, H Donovan, P Brusilovsky, YJ Lee JMIR cancer 8 (3), e39643, 2022 | 6 | 2022 |
He DaqingProfessor, School of Computing and Information, University of PittsburghVerified email at pitt.edu
