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Cross-region collaborative filtering for new point-of-interest recommendation

Authors:

Ning Zheng,

Xiaoming Jin,

Lianghao LiAuthors Info & Claims

WWW '13 Companion: Proceedings of the 22nd International Conference on World Wide Web

Pages 45 - 46

https://doi.org/10.1145/2487788.2487804

Published: 13 May 2013 Publication History

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Abstract

With the rapid growth of location-based social networks (LBSNs), Point-of-Interest (POI) recommendation is in increasingly higher demand these years. In this paper, our aim is to recommend new POIs to a user in regions where he has rarely been before. Different from the classical memory-based recommendation algorithms using user rating data to compute similarity between users or items to make recommendation, we propose a cross-region collaborative filtering method based on hidden topics mined from user check-in records to recommend new POIs. Experimental results on a real-world LBSNs dataset show that our method consistently outperforms naive CF method.

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E. Cho, S. A. Myers, and J. Leskovec. Friendship and mobility: user movement in location-based social networks. In Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining, pages 1082--1090. ACM, 2011.

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Yi JTian YZhao Y(2023)Design of Red Culture Retrieval System Based on Multimodal Data Fusion and Innovation of Communication Strategy PathIEEE Access10.1109/ACCESS.2023.333641911(134118-134125)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3336419
Liu KZheng WXiao YZhai X(2022)POI Recommendation Algorithm based on Region Transfer Collaborative Filtering2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD)10.1109/CSCWD54268.2022.9776066(903-907)Online publication date: 4-May-2022
https://doi.org/10.1109/CSCWD54268.2022.9776066
Zhu JHan LGou ZYang YYuan XLi JLi S(2021)A robust personalized location recommendation based on ensemble learningExpert Systems with Applications: An International Journal10.1016/j.eswa.2020.114065167:COnline publication date: 1-Apr-2021
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Index Terms

Cross-region collaborative filtering for new point-of-interest recommendation
1. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Document filtering
      2. Information extraction

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Information & Contributors

Information

Published In

WWW '13 Companion: Proceedings of the 22nd International Conference on World Wide Web

May 2013

1636 pages

ISBN:9781450320382

DOI:10.1145/2487788

General Chairs:
Daniel Schwabe
PUC-Rio - Brazil
,
Virgílio Almeida
UFMG - Brazil
,
Hartmut Glaser
CGI.br - Brazil
,
Program Chairs:
Ricardo Baeza-Yates
Yahoo! Labs - Spain & Chile
,
Sue Moon
KAIST - South Korea

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

In-Cooperation

SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 May 2013

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Poster

Conference

WWW '13

Sponsor:

NICBR
CGIBR

WWW '13: 22nd International World Wide Web Conference

May 13 - 17, 2013

Rio de Janeiro, Brazil

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WWW '13 Companion Paper Acceptance Rate 831 of 1,250 submissions, 66%;

Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Citations

Cited By

View all

Yi JTian YZhao Y(2023)Design of Red Culture Retrieval System Based on Multimodal Data Fusion and Innovation of Communication Strategy PathIEEE Access10.1109/ACCESS.2023.333641911(134118-134125)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3336419
Liu KZheng WXiao YZhai X(2022)POI Recommendation Algorithm based on Region Transfer Collaborative Filtering2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD)10.1109/CSCWD54268.2022.9776066(903-907)Online publication date: 4-May-2022
https://doi.org/10.1109/CSCWD54268.2022.9776066
Zhu JHan LGou ZYang YYuan XLi JLi S(2021)A robust personalized location recommendation based on ensemble learningExpert Systems with Applications: An International Journal10.1016/j.eswa.2020.114065167:COnline publication date: 1-Apr-2021
https://dl.acm.org/doi/10.1016/j.eswa.2020.114065
Naumzik CZoechbauer PFeuerriegel S(2020)Mining Points-of-Interest for Explaining Urban Phenomena: A Scalable Variational Inference ApproachProceedings of The Web Conference 202010.1145/3366423.3380298(2342-2353)Online publication date: 20-Apr-2020
https://dl.acm.org/doi/10.1145/3366423.3380298
Huang ZLin XLiu HZhang BChen YTang Y(2020)Deep Representation Learning for Location-Based RecommendationIEEE Transactions on Computational Social Systems10.1109/TCSS.2020.29745347:3(648-658)Online publication date: Jun-2020
https://doi.org/10.1109/TCSS.2020.2974534
Guan PWu J(2019)Effective Data Communication Based on Social Community in Social Opportunistic NetworksIEEE Access10.1109/ACCESS.2019.28933087(12405-12414)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2893308
Alvarado-Uribe JGómez-Oliva ABarrera-Animas AMolina GGonzalez-Mendoza MParra-Meroño MJara A(2018)HyRA: A Hybrid Recommendation Algorithm Focused on Smart POI. Ceutí as a Study ScenarioSensors10.3390/s1803089018:3(890)Online publication date: 17-Mar-2018
https://doi.org/10.3390/s18030890
Chen YTsai MLee C(2018)Recommending topics in dialogueWorld Wide Web10.1007/s11280-017-0499-021:5(1165-1185)Online publication date: 1-Sep-2018
https://dl.acm.org/doi/10.1007/s11280-017-0499-0
Alvarado-Uribe JGómez-Oliva AMolina GGonzalez-Mendoza MParra-Meroño MJara A(2017)Towards the Development of a Smart Tourism Application Based on Smart POI and Recommendation Algorithms: Ceutí as a Study CaseInnovative Mobile and Internet Services in Ubiquitous Computing10.1007/978-3-319-61542-4_92(904-916)Online publication date: 5-Jul-2017
https://doi.org/10.1007/978-3-319-61542-4_92
Xu GFu BGu Y(2016)Point-of-Interest Recommendations via a Supervised Random Walk AlgorithmIEEE Intelligent Systems10.1109/MIS.2016.431:1(15-23)Online publication date: 1-Jan-2016
https://dl.acm.org/doi/10.1109/MIS.2016.4
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