research-article

Towards geosocial recommender systems

Authors:

Victor de Graaff,

Maurice van Keulen,

Rolf A. de ByAuthors Info & Claims

WI&C '12: Proceedings of the 4th International Workshop on Web Intelligence & Communities

Article No.: 8, Pages 1 - 4

https://doi.org/10.1145/2189736.2189748

Published: 16 April 2012 Publication History

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Abstract

The usage of social networks sites (SNSs), such as Facebook, and geosocial networks (GSNs), such as Foursquare, has increased tremendously over the past years. The willingness of users to share their current locations and experiences facilitate the creation of geographical recommender systems based on user generated content (UGC). This idea has been used to create a substantial amount of geosocial recommender systems (GRSs), such as Gogobot, TripIt, and Trippy already, but can be applied to more complex scenarios, such as the recommendation of products with a strong binding to their region, such as real estate or vacation destinations.

This extended form of GRS development requires advanced functionality for information collection (from the web, other social media and allowing the users to supply UGC inside the application), information enrichment (such as data quality assessment and advanced data analysis), and personalized recommendations. The creation of a toolset to cope with these challenges is the goal of this research project, for which the outline is presented in this paper.

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Cited By

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Rehman FMasood HUl-Hasan ANawaz RShafait F(2019)An Intelligent Context Aware Recommender System for Real-EstatePattern Recognition and Artificial Intelligence10.1007/978-3-030-37548-5_14(177-191)Online publication date: 18-Dec-2019
https://doi.org/10.1007/978-3-030-37548-5_14
Kanza YShalem M(2018)Combined geo-social searchGeoinformatica10.5555/3238836.323886122:3(615-660)Online publication date: 1-Jul-2018
https://dl.acm.org/doi/10.5555/3238836.3238861
Knoll JGroß RSchwanke ARinn BSchreyer M(2018)Applying Recommender Approaches to the Real Estate e-Commerce MarketInnovations for Community Services10.1007/978-3-319-93408-2_9(111-126)Online publication date: 6-Jun-2018
https://doi.org/10.1007/978-3-319-93408-2_9
Show More Cited By

Index Terms

Towards geosocial recommender systems
1. Applied computing
  1. Operations research
    1. Decision analysis
2. Information systems
  1. Information systems applications
    1. Decision support systems

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Published In

WI&C '12: Proceedings of the 4th International Workshop on Web Intelligence & Communities

April 2012

62 pages

ISBN:9781450311892

DOI:10.1145/2189736

Conference Chairs:
Rajendra Akerkar
Western Norway Research Institute, Norway
,
Pierre Maret
Hubert Curien Laboratory, Universite Jean Monnet, Saint-Etienne, France
,
Laurent Vercouter
LITIS Laboratory, INSA de Rouen, France

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 16 April 2012

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WI&C '12: International Workshop on WEB INTELLIGENCE & COMMUNITIES

April 16, 2012

Lyon, France

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Rehman FMasood HUl-Hasan ANawaz RShafait F(2019)An Intelligent Context Aware Recommender System for Real-EstatePattern Recognition and Artificial Intelligence10.1007/978-3-030-37548-5_14(177-191)Online publication date: 18-Dec-2019
https://doi.org/10.1007/978-3-030-37548-5_14
Kanza YShalem M(2018)Combined geo-social searchGeoinformatica10.5555/3238836.323886122:3(615-660)Online publication date: 1-Jul-2018
https://dl.acm.org/doi/10.5555/3238836.3238861
Knoll JGroß RSchwanke ARinn BSchreyer M(2018)Applying Recommender Approaches to the Real Estate e-Commerce MarketInnovations for Community Services10.1007/978-3-319-93408-2_9(111-126)Online publication date: 6-Jun-2018
https://doi.org/10.1007/978-3-319-93408-2_9
Kanza YShalem M(2017)Combined geo-social search: computing top-k join queries over incomplete informationGeoInformatica10.1007/s10707-017-0297-y22:3(615-660)Online publication date: 25-Mar-2017
https://doi.org/10.1007/s10707-017-0297-y
de Graaff Vde By Rvan Keulen MOssowski S(2016)Automated semantic trajectory annotation with indoor point-of-interest visits in urban areasProceedings of the 31st Annual ACM Symposium on Applied Computing10.1145/2851613.2851709(552-559)Online publication date: 4-Apr-2016
https://dl.acm.org/doi/10.1145/2851613.2851709
Kanza YSamet HAli MHuang YGertz MRenz MSankaranarayanan J(2015)An online marketplace for geosocial dataProceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems10.1145/2820783.2820881(1-4)Online publication date: 3-Nov-2015
https://dl.acm.org/doi/10.1145/2820783.2820881
de Graaff VPfoser Dvan Keulen MDe By R(2015)Spatiotemporal Behavior Profiling: A Treasure Hunt Case StudyWeb and Wireless Geographical Information Systems10.1007/978-3-319-18251-3_9(143-158)Online publication date: 23-Apr-2015
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de Graaff Vde By Rvan Keulen MFlokstra JKnoblock CSchneider MKröger PKrumm JWidmayer P(2013)Point of interest to region of interest conversionProceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems10.1145/2525314.2525442(388-391)Online publication date: 5-Nov-2013
https://dl.acm.org/doi/10.1145/2525314.2525442

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User Models Development Based on Cross-Domain for Recommender Systems

Acquiring User Information Needs for Recommender Systems

The state-of-the-art in personalized recommender systems for social networking

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