Search Results for author: Daichi Amagata

Found 4 papers, 3 papers with code

Learned spatial data partitioning

1 code implementation8 Jun 2023 Keizo Hori, Yuya Sasaki, Daichi Amagata, Yuki Murosaki, Makoto Onizuka

Due to the significant increase in the size of spatial data, it is essential to use distributed parallel processing systems to efficiently analyze spatial data.


Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations

1 code implementation7 Nov 2022 Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa

To address this data sparsity problem, cross-domain recommender systems (CDRSs) exploit the data from an auxiliary source domain to facilitate the recommendation on the sparse target domain.

Clustering Recommendation Systems +1

Learned k-NN Distance Estimation

1 code implementation29 Aug 2022 Daichi Amagata, Yusuke Arai, Sumio Fujita, Takahiro Hara

In such analysis, the distances to k nearest neighbors are usually employed, thus its main bottleneck is derived from data retrieval.


Distributed Spatial-Keyword kNN Monitoring for Location-aware Pub/Sub

no code implementations29 Jan 2021 Shohei Tsuruoka, Daichi Amagata, Shunya Nishio, Takahiro Hara

In this paper, we address the problem of k nearest neighbor monitoring on a spatial-keyword data stream for a large number of subscriptions.


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