CARAN: A Context-Aware Recency-Based Attention Network for Point-of-Interest Recommendation Article Swipe
Md. Billal Hossain
,
Mohammad Shamsul Arefin
,
Iqbal H. Sarker
,
Md. Kowsher
,
Pranab Kumar Dhar
,
Takeshi Koshiba
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1109/access.2022.3161941
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1109/access.2022.3161941
Point-of-interest (POI) recommendation system that tries to anticipate user’s next visiting location has attracted a plentiful research interest due to its ability in generating personalized suggestions. Since user’s historical check-ins are sequential in nature, Recurrent neural network (RNN) based models with context embedding shows promising result for modeling user’s mobility. However, such models cannot provide a correlation between non-consecutive and non-adjacent visits for understanding user’s behavior. To mitigate data sparsity problem, many models use hierarchical gridding of the map which cannot represent spatial distance smoothly. Another important factor while providing POI recommendation is the impact of weather conditions which has rarely been considered in the literature. To address the above shortcomings, we propose a Context-Aware Recency based Attention Network (CARAN) that incorporates weather conditions with spatiotemporal context and gives focus on recently visited locations using the attention mechanism. It allows interaction between non-adjacent check-ins by using spatiotemporal matrices and uses linear interpolation for smooth representation of spatial distance. Moreover, we use positional encoding of the check-in sequence in order to maintain relative position of the visited locations. We evaluate our proposed model on three real world datasets and the result shows that CARAN surpasses the existing state-of-the art models by 7–14%.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2022.3161941
- https://ieeexplore.ieee.org/ielx7/6287639/9668973/09745902.pdf
- OA Status
- gold
- Cited By
- 17
- References
- 58
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- 10
- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4226056947Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/access.2022.3161941Digital Object Identifier
- Title
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CARAN: A Context-Aware Recency-Based Attention Network for Point-of-Interest RecommendationWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-01-01Full publication date if available
- Authors
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Md. Billal Hossain, Mohammad Shamsul Arefin, Iqbal H. Sarker, Md. Kowsher, Pranab Kumar Dhar, Takeshi KoshibaList of authors in order
- Landing page
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https://doi.org/10.1109/access.2022.3161941Publisher landing page
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https://ieeexplore.ieee.org/ielx7/6287639/9668973/09745902.pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://ieeexplore.ieee.org/ielx7/6287639/9668973/09745902.pdfDirect OA link when available
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Computer science, Context (archaeology), Point (geometry), Point of interest, Artificial intelligence, Geometry, Paleontology, Biology, MathematicsTop concepts (fields/topics) attached by OpenAlex
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17Total citation count in OpenAlex
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2025: 5, 2024: 7, 2023: 3, 2022: 2Per-year citation counts (last 5 years)
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58Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W2531384334, https://openalex.org/W3210969871, https://openalex.org/W3118650744, https://openalex.org/W3035705826, https://openalex.org/W3042508749, https://openalex.org/W2793823642, https://openalex.org/W3084861690, https://openalex.org/W2171279286, https://openalex.org/W6632885370, https://openalex.org/W2807855639, https://openalex.org/W2471486255, https://openalex.org/W2808425487, https://openalex.org/W3007094428, https://openalex.org/W3193804672, https://openalex.org/W2739805805, https://openalex.org/W2905432015, https://openalex.org/W6739901393, https://openalex.org/W2968758246, https://openalex.org/W2947144452, https://openalex.org/W3099615175, https://openalex.org/W3034352512, https://openalex.org/W3128267727, https://openalex.org/W2781891275, https://openalex.org/W2611791389, https://openalex.org/W3042251391, https://openalex.org/W2947900840, https://openalex.org/W1981886741, https://openalex.org/W3080292238, https://openalex.org/W2493543356, https://openalex.org/W2112631146, https://openalex.org/W2121710227, https://openalex.org/W2982866893, https://openalex.org/W3080752521, https://openalex.org/W1984189333, https://openalex.org/W2087692915, https://openalex.org/W1972243012, https://openalex.org/W2272043898, https://openalex.org/W2845278725, https://openalex.org/W2964296635, https://openalex.org/W2884134348, https://openalex.org/W2385600359, https://openalex.org/W2612465529, https://openalex.org/W2605350416, https://openalex.org/W2964057288, https://openalex.org/W2743289629, https://openalex.org/W2539781657, https://openalex.org/W2788114581, https://openalex.org/W3034646226, https://openalex.org/W2996931760, https://openalex.org/W2931222964, https://openalex.org/W2767923185, https://openalex.org/W2798749602, https://openalex.org/W3093030979, https://openalex.org/W2998167534, https://openalex.org/W2901290105, https://openalex.org/W6776869044, https://openalex.org/W3164797320, https://openalex.org/W3098791569 |
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