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A Time-Aware Personalized Point-of-Interest Recommendation via High-Order Tensor Factorization

Research article (ACM Transactions on Information Systems, 2017) · cited 88× · AI/ML
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A Time-Aware Personalized Point-of-Interest Recommendation via High-Order Tensor Factorization

Summary

A Time-Aware Personalized Point-of-Interest Recommendation via High-Order Tensor Factorization is a scholarly article[1].

Key Facts

  • A Time-Aware Personalized Point-of-Interest Recommendation via High-Order Tensor Factorization's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). A Time-Aware Personalized Point-of-Interest Recommendation via High-Order Tensor Factorization. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-time-aware-personalized-point-of-interest-recommendation-via-high-order-tensor-factorization
MLA “A Time-Aware Personalized Point-of-Interest Recommendation via High-Order Tensor Factorization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-time-aware-personalized-point-of-interest-recommendation-via-high-order-tensor-factorization.
BibTeX @misc{4ortxyz_a-time-aware-personalized-point-of-interest-recommendation-via-high-order-tensor-factorization_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Time-Aware Personalized Point-of-Interest Recommendation via High-Order Tensor Factorization}}, year = {2026}, url = {https://4ort.xyz/entity/a-time-aware-personalized-point-of-interest-recommendation-via-high-order-tensor-factorization}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Time-Aware Personalized Point-of-Interest Recommendation via High-Order Tensor Factorization — https://4ort.xyz/entity/a-time-aware-personalized-point-of-interest-recommendation-via-high-order-tensor-factorization (retrieved 2026-05-24)

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