Geo-social media data analytic for user modeling and location-based services

Jie Bao · Defu Lian · Fuzheng Zhang · Nicholas Jing Yuan

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Human Mobility and Location-Based Analysis Recommender Systems and Techniques Data Management and Algorithms

Abstract

More and more geo-tagged social media data is generated, nowadays, from the geo-tagged tweets, geo-tagged photos to check-ins. Analyzing this flourish data enables the possibility for us to discover users daily mobility patterns, profiles and preferences. As a result, based on the analyzed results, new types of location-based services emerge. In this article, we first introduce the recent advances in location-based user preferences modeling, which includes: 1) inferring users demographics, 2) identifying users novelty-seeking characteristics and 3) discovering users shopping impulsiveness. After that, we present a comprehensive summary on the state-of-arts of the location-based services, which take advantage of the geo-social media, including: 1) location-based recommendations, 2) location-based predication.

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References

2008Understanding individual human mobility patterns 2011Friendship and mobility 2012Discovering regions of different functions in a city using human mobility and POIs 2003Using GPS to learn significant locations and predict movement across multiple users 1980Optimum Stimulation Level: Its Relationship to Personality, Demographics, and Exploratory Behavior 1996Measuring and Modifying Consumer Impulsiveness: A Cost‐Benefit Accessibility Framework 2021Exploring Social-Historical Ties on Location-Based Social Networks 2015You Are Where You Go

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2023Handbook of Computational Social Science for Policy 2020A review of the use of geosocial media data in agent-based models for studying urban systems 2023The Empirical Study of Human Mobility: Potentials and Pitfalls of Using Traditional and Digital Data 2023Leveraging Social Media Geographic Information for Smart Governance and Policy Making 2018Using provenance to disambiguate locational references in social network posts

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