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{
    "pk": 21632,
    "title": "Dual Weighted Graph Convolutional Network for POI Recommendation",
    "subtitle": null,
    "abstract": "In recent years, with the widespread popularity of location-based social network platforms, the data generated by users on social networks has grown exponentially. There has been a growing focus on the problem of POI (Point-of-Interest) recommendations. Unlike traditional sequence recommendation that primarily considers the temporal dimension, POI recommendation needs to account for the influence of geographical information to a large extent. However, previous works in the graph construction process often only consider the places users have visited, neglecting those they haven't been to. To address this, we propose a Dual Weighted Graph Convolutional Network for POI recommendation called DualPOI. Specifically, we first leverage graph neural networks and attention mechanisms to capture users' local trajectory preferences for visited POIs. A delicately designed spatiotemporal encoder is conducted to model users' local spatiotemporal preferences. Subsequently, using a dual graph convolutional approach, we transfer the user's local preference information to a global scope, thereby modeling novel preferences for unvisited locations. Extensive experiments on four real-world datasets validate the effectiveness of our proposed method in enhancing the accuracy of POI recommendations. Comprehensive ablation studies and parameter analysis further confirm the efficacy of the proposed modules.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "Artificial Intelligence; Predictive Processing; Big data; Knowledge representation; Neural Networks"
        }
    ],
    "section": "Papers with Poster Presentation",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/9x86w5pr",
    "frozenauthors": [
        {
            "first_name": "Zhi",
            "middle_name": "",
            "last_name": "Liu",
            "name_suffix": "",
            "institution": "Zhejiang University of Technology",
            "department": ""
        },
        {
            "first_name": "Deju",
            "middle_name": "",
            "last_name": "Zhang",
            "name_suffix": "",
            "institution": "College of Computer Science and Technology, Zhejiang University of Technology",
            "department": ""
        },
        {
            "first_name": "Junhui",
            "middle_name": "",
            "last_name": "Deng",
            "name_suffix": "",
            "institution": "College of Computer Science and Technology",
            "department": ""
        },
        {
            "first_name": "Guojiang",
            "middle_name": "",
            "last_name": "Shen",
            "name_suffix": "",
            "institution": "Zhejiang University of Technology",
            "department": ""
        },
        {
            "first_name": "Xiangjie",
            "middle_name": "",
            "last_name": "Kong",
            "name_suffix": "",
            "institution": "Zhejiang University of Technology",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2024-01-01T18:00:00Z",
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}