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POI Recommendation: A Temporal Matching between POI Popularity and User Regularity

Research article (2016 IEEE 16th International Conference on Data Mining (ICDM), 2016) · cited 95× · AI/ML
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POI Recommendation: A Temporal Matching between POI Popularity and User Regularity

Summary

POI Recommendation: A Temporal Matching between POI Popularity and User Regularity is a scholarly article[1].

Key Facts

  • POI Recommendation: A Temporal Matching between POI Popularity and User Regularity'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). POI Recommendation: A Temporal Matching between POI Popularity and User Regularity. Retrieved May 24, 2026, from https://4ort.xyz/entity/poi-recommendation-a-temporal-matching-between-poi-popularity-and-user-regularity
MLA “POI Recommendation: A Temporal Matching between POI Popularity and User Regularity.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/poi-recommendation-a-temporal-matching-between-poi-popularity-and-user-regularity.
BibTeX @misc{4ortxyz_poi-recommendation-a-temporal-matching-between-poi-popularity-and-user-regularity_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{POI Recommendation: A Temporal Matching between POI Popularity and User Regularity}}, year = {2026}, url = {https://4ort.xyz/entity/poi-recommendation-a-temporal-matching-between-poi-popularity-and-user-regularity}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): POI Recommendation: A Temporal Matching between POI Popularity and User Regularity — https://4ort.xyz/entity/poi-recommendation-a-temporal-matching-between-poi-popularity-and-user-regularity (retrieved 2026-05-24)

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