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Daichi Amagata
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A dnn-based cross-domain recommender system for alleviating cold-start problem in e-commerce
H Wang, D Amagata, T Makeawa, T Hara, N Hao, K Yonekawa, ...
IEEE Open Journal of the Industrial Electronics Society 1, 194-206, 2020
422020
Dummy generation based on user-movement estimation for location privacy protection
S Hayashida, D Amagata, T Hara, X Xie
IEEE Access 6, 22958-22969, 2018
392018
A robust routing method for top-k queries in mobile ad hoc networks
D Amagata, Y Sasaki, T Hara, S Nishio
2013 IEEE 14th International Conference on Mobile Data Management 1, 251-256, 2013
332013
Monitoring MaxRS in Spatial Data Streams
D Amagata, T Hara
EDBT, 317-328, 2016
292016
A general framework for MaxRS and MaxCRS monitoring in spatial data streams
D Amagata, T Hara
ACM Transactions on Spatial Algorithms and Systems (TSAS) 3 (1), 1, 2017
262017
Preliminary investigation of alleviating user cold-start problem in e-commerce with deep cross-domain recommender system
H Wang, D Amagata, T Maekawa, T Hara, H Niu, K Yonekawa, ...
Companion Proceedings of The 2019 World Wide Web Conference, 398-403, 2019
212019
Mining top-k co-occurrence patterns across multiple streams
D Amagata, T Hara
IEEE Transactions on Knowledge and Data Engineering 29 (10), 2249-2262, 2017
212017
Dynamic set kNN self-join
D Amagata, T Hara, C Xiao
2019 IEEE 35th international conference on data engineering (ICDE), 818-829, 2019
202019
Environment-adaptive malicious node detection in MANETs with ensemble learning
B Gao, T Maekawa, D Amagata, T Hara
2018 IEEE 38th International Conference on Distributed Computing Systems …, 2018
202018
Reverse maximum inner product search: How to efficiently find users who would like to buy my item?
D Amagata, T Hara
Proceedings of the 15th ACM Conference on Recommender Systems, 273-281, 2021
172021
Fast and exact outlier detection in metric spaces: a proximity graph-based approach
D Amagata, M Onizuka, T Hara
Proceedings of the 2021 International Conference on Management of Data, 36-48, 2021
152021
Fast density-peaks clustering: multicore-based parallelization approach
D Amagata, T Hara
Proceedings of the 2021 International Conference on Management of Data, 49-61, 2021
152021
Space filling approach for distributed processing of top-k dominating queries
D Amagata, T Hara, M Onizuka
IEEE Transactions on Knowledge and Data Engineering 30 (6), 1150-1163, 2018
152018
Sliding window top-k dominating query processing over distributed data streams
D Amagata, T Hara, S Nishio
Distributed and Parallel Databases 34, 535-566, 2016
152016
Efficient processing of top-k dominating queries in distributed environments
D Amagata, Y Sasaki, T Hara, S Nishio
World Wide Web 19, 545-577, 2016
152016
HML4Rec: Hierarchical meta-learning for cold-start recommendation in flash sale e-commerce
Z Li, D Amagata, Y Zhang, T Maekawa, T Hara, K Yonekawa, M Kurokawa
Knowledge-Based Systems 255, 109674, 2022
142022
A routing method for top-k query processing in mobile ad hoc networks
D Amagata, Y Sasaki, T Hara, S Nishio
2013 IEEE 27th International Conference on Advanced Information Networking …, 2013
142013
Solving diversity-aware maximum inner product search efficiently and effectively
K Hirata, D Amagata, S Fujita, T Hara
Proceedings of the 16th ACM Conference on Recommender Systems, 198-207, 2022
132022
Lamps: Location-aware Moving Top-k Pub/Sub
S Nishio, D Amagata, T Hara
IEEE Transactions on Knowledge and Data Engineering, 2020
132020
Probabilistic nearest neighbor query processing on distributed uncertain data
D Amagata, Y Sasaki, T Hara, S Nishio
Distributed and Parallel Databases 34, 259-287, 2016
132016
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