CAVE-SC: Inferring categories for venues using check-ins

Xu, Haoran; Xu, Ronghui; Chen, Meng; Liu, Yang; Yu, Xiaohui

doi:10.1016/j.ins.2022.08.056

Information Sciences

2022

DOI: 10.1016/j.ins.2022.08.056

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CAVE-SC: Inferring categories for venues using check-ins

Haoran Xu

Ronghui Xu

Meng Chen

et al.

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2023

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Cited by 1 publication

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Little Known POI Category Estimation via Syntactical Knowledge Graph Generated via Tweets

Rajaonarivo,

Mine,

Arakawa

2023

2023 18th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)

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Local events are important for the vitality and dynamism of a city. However, some events or sites are lesserknown or only known by the local community. The information about them is then limited or not available. To address this issue, we propose an approach to automatically generate knowledge graphs from information posted on social networks and data on human mobility. This graph is generated from the tweets using the syntactic relationships between the verbs, nouns, and adjectives. Its exploitation would allow to estimate the categories of lesser-known points of Interest (POIs) or events. It can also allow to generate sentences and to answer questions that tourists may ask. The specificity of our approach lies in the Graph Convolutional Network (GCN)-based encoding of POIs with a graph of verbs, nouns, and adjectives and the estimation of POI categories using the proposed encoding. Experimental results show that our approach performs better than approaches in the literature.

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Little Known POI Category Estimation via Syntactical Knowledge Graph Generated via Tweets

Rajaonarivo,

Mine,

Arakawa

2023

2023 18th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)

View full text Add to dashboard Cite

show abstract

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CAVE-SC: Inferring categories for venues using check-ins

Cited by 1 publication

References 14 publications

Little Known POI Category Estimation via Syntactical Knowledge Graph Generated via Tweets

Little Known POI Category Estimation via Syntactical Knowledge Graph Generated via Tweets

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