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Found 4 papers, 3 papers with code
Learned spatial data partitioning
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
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.
Learned k-NN Distance Estimation
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
In this paper, we address the problem of k nearest neighbor monitoring on a spatial-keyword data stream for a large number of subscriptions.
Databases
