Leveraging contextual influence and user preferences for point-of-interest recommendation

Dongjin Yu; Wenbo Wanyan; Dongjing Wang

doi:10.1007/s11042-020-09746-0

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JOURNAL ARTICLE

Leveraging contextual influence and user preferences for point-of-interest recommendation

Dongjin Yu Wenbo Wanyan Dongjing Wang

Year: 2020 Journal: Multimedia Tools and Applications Vol: 80 (1)Pages: 1487-1501 Publisher: Springer Science+Business Media

DOI: 10.1007/s11042-020-09746-0

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Keywords:

Computer science Point of interest Context (archaeology) Recommender system Metric (unit) Embedding Information retrieval Point (geometry) Similarity (geometry) Preference Machine learning Artificial intelligence Data mining Human–computer interaction

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Recommender Systems and Techniques

Physical Sciences → Computer Science → Information Systems

Human Mobility and Location-Based Analysis

Social Sciences → Social Sciences → Transportation

Image and Video Quality Assessment

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Leveraging contextual influence and user preferences for point-of-interest recommendation

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