research-article

Joint Representation Learning for Location-Based Social Networks with Multi-Grained Sequential Contexts

Authors:

Wayne Xin Zhao,

Edward Y. ChangAuthors Info & Claims

ACM Transactions on Knowledge Discovery from Data (TKDD), Volume 12, Issue 2

Article No.: 22, Pages 1 - 21

https://doi.org/10.1145/3127875

Published: 23 January 2018 Publication History

Abstract

This article studies the problem of learning effective representations for Location-Based Social Networks (LBSN), which is useful in many tasks such as location recommendation and link prediction. Existing network embedding methods mainly focus on capturing topology patterns reflected in social connections, while check-in sequences, the most important data type in LBSNs, are not directly modeled by these models. In this article, we propose a representation learning method for LBSNs called as JRLM++, which models check-in sequences together with social connections. To capture sequential relatedness, JRLM++ characterizes two levels of sequential contexts, namely fine-grained and coarse-grained contexts. We present a learning algorithm tailored to the hierarchical architecture of the proposed model. We conduct extensive experiments on two important applications using real-world datasets. The experimental results demonstrate the superiority of our model. The proposed model can generate effective representations for both users and locations in the same embedding space, which can be further utilized to improve multiple LBSN tasks.

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Cited By

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https://doi.org/10.3390/ijgi12020064
Wang HLiu GHu P(2023)TDAN: Transferable Domain Adversarial Network for Link Prediction in Heterogeneous Social NetworksACM Transactions on Knowledge Discovery from Data10.1145/361022918:1(1-22)Online publication date: 6-Sep-2023
https://dl.acm.org/doi/10.1145/3610229
Xu RChen MGong YLiu YYu XNie L(2023)TME: Tree-guided Multi-task Embedding Learning towards Semantic Venue AnnotationACM Transactions on Information Systems10.1145/358255341:4(1-24)Online publication date: 1-Feb-2023
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Index Terms

Joint Representation Learning for Location-Based Social Networks with Multi-Grained Sequential Contexts
1. Information systems
  1. Information systems applications

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Published In

cover image ACM Transactions on Knowledge Discovery from Data

ACM Transactions on Knowledge Discovery from Data Volume 12, Issue 2

Survey Papers and Regular Papers

April 2018

376 pages

ISSN:1556-4681

EISSN:1556-472X

DOI:10.1145/3178544

Editors:
Charu Aggarwal
IBM T. J. Watson Research, USA
,
Xindong Wu
University of Louisiana at Lafayette, USA

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Copyright © 2018 ACM.

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Publication History

Published: 23 January 2018

Accepted: 01 July 2017

Revised: 01 April 2017

Received: 01 May 2016

Published in TKDD Volume 12, Issue 2

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Cited By

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https://doi.org/10.3390/ijgi12020064
Wang HLiu GHu P(2023)TDAN: Transferable Domain Adversarial Network for Link Prediction in Heterogeneous Social NetworksACM Transactions on Knowledge Discovery from Data10.1145/361022918:1(1-22)Online publication date: 6-Sep-2023
https://dl.acm.org/doi/10.1145/3610229
Xu RChen MGong YLiu YYu XNie L(2023)TME: Tree-guided Multi-task Embedding Learning towards Semantic Venue AnnotationACM Transactions on Information Systems10.1145/358255341:4(1-24)Online publication date: 1-Feb-2023
https://dl.acm.org/doi/10.1145/3582553
Li YChen YQi TTian FWu YWang Q(2023)SHGAE: Social Hypergraph AutoEncoder for Friendship InferenceArtificial Neural Networks and Machine Learning – ICANN 202310.1007/978-3-031-44223-0_44(550-562)Online publication date: 26-Sep-2023
https://dl.acm.org/doi/10.1007/978-3-031-44223-0_44
Wei XLiu YSun JJiang YTang QYuan K(2022)Dual Subgraph-Based Graph Neural Network for Friendship Prediction in Location-Based Social NetworksACM Transactions on Knowledge Discovery from Data10.1145/355498117:3(1-28)Online publication date: 16-Aug-2022
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