Articles with public access mandates - James CaverleeLearn more
Available somewhere: 43
Tensor completion algorithms in big data analytics
Q Song, H Ge, J Caverlee, X Hu
ACM Transactions on Knowledge Discovery from Data (TKDD) 13 (1), 1-48, 2019
Mandates: US National Science Foundation, US Department of Defense
Next-item recommendation with sequential hypergraphs
J Wang, K Ding, L Hong, H Liu, J Caverlee
Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020
Mandates: US National Science Foundation
Fairness-aware tensor-based recommendation
Z Zhu, X Hu, J Caverlee
Proceedings of the 27th ACM international conference on information and …, 2018
Mandates: US National Science Foundation, US Department of Defense
Neural personalized ranking for image recommendation
W Niu, J Caverlee, H Lu
Proceedings of the eleventh ACM international conference on web search and …, 2018
Mandates: US National Science Foundation
Popularity-opportunity bias in collaborative filtering
Z Zhu, Y He, X Zhao, Y Zhang, J Wang, J Caverlee
Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021
Mandates: US National Science Foundation
Measuring and mitigating item under-recommendation bias in personalized ranking systems
Z Zhu, J Wang, J Caverlee
Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020
Mandates: US National Science Foundation
Combating crowdsourced review manipulators: A neighborhood-based approach
P Kaghazgaran, J Caverlee, A Squicciarini
Proceedings of the eleventh ACM international conference on web search and …, 2018
Mandates: US Department of Defense
Multi-aspect streaming tensor completion
Q Song, X Huang, H Ge, J Caverlee, X Hu
Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017
Mandates: US National Science Foundation, US Department of Defense
Popularity bias in dynamic recommendation
Z Zhu, Y He, X Zhao, J Caverlee
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
Mandates: US National Science Foundation
Recommendation for new users and new items via randomized training and mixture-of-experts transformation
Z Zhu, S Sefati, P Saadatpanah, J Caverlee
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
Mandates: US National Science Foundation
Taper: A contextual tensor-based approach for personalized expert recommendation
H Ge, J Caverlee, H Lu
Proceedings of the 10th ACM Conference on Recommender Systems, 261-268, 2016
Mandates: US National Science Foundation
Fairness among new items in cold start recommender systems
Z Zhu, J Kim, T Nguyen, A Fenton, J Caverlee
Proceedings of the 44th international ACM SIGIR conference on research and …, 2021
Mandates: US National Science Foundation
Improving top-k recommendation via jointcollaborative autoencoders
Z Zhu, J Wang, J Caverlee
The World Wide Web Conference, 3483-3482, 2019
Mandates: US National Science Foundation
Quality-aware neural complementary item recommendation
Y Zhang, H Lu, W Niu, J Caverlee
Proceedings of the 12th ACM conference on recommender systems, 77-85, 2018
Mandates: US National Science Foundation
Item relationship graph neural networks for e-commerce
W Liu, Y Zhang, J Wang, Y He, J Caverlee, PPK Chan, DS Yeung, ...
IEEE Transactions on Neural Networks and Learning Systems 33 (9), 4785-4799, 2021
Mandates: US National Science Foundation, US Department of Defense
Unbiased implicit recommendation and propensity estimation via combinational joint learning
Z Zhu, Y He, Y Zhang, J Caverlee
Proceedings of the 14th ACM Conference on Recommender Systems, 551-556, 2020
Mandates: US National Science Foundation, US Department of Defense
Content-collaborative disentanglement representation learning for enhanced recommendation
Y Zhang, Z Zhu, Y He, J Caverlee
Proceedings of the 14th ACM Conference on Recommender Systems, 43-52, 2020
Mandates: US National Science Foundation, US Department of Defense
Consistency-aware recommendation for user-generated item list continuation
Y He, Y Zhang, W Liu, J Caverlee
Proceedings of the 13th international conference on web search and data …, 2020
Mandates: US National Science Foundation
Behavioral analysis of review fraud: Linking malicious crowdsourcing to amazon and beyond
P Kaghazgaran, J Caverlee, M Alfifi
Proceedings of the International AAAI Conference on Web and Social Media 11 …, 2017
Mandates: US Department of Defense
A hierarchical self-attentive model for recommending user-generated item lists
Y He, J Wang, W Niu, J Caverlee
Proceedings of the 28th ACM international conference on information and …, 2019
Mandates: US National Science Foundation
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