survey

Point-of-Interest Recommender Systems Based on Location-Based Social Networks: A Survey from an Experimental Perspective

Authors:
Pablo Sánchez

Universidad Autónoma de Madrid, Madrid, Spain

Universidad Autónoma de Madrid, Madrid, Spain

0000-0003-1792-1706
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,
Alejandro Bellogín

Universidad Autónoma de Madrid, Madrid, Spain

Universidad Autónoma de Madrid, Madrid, Spain
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Authors Info & Claims

ACM Computing Surveys Volume 54 Issue 11sArticle No.: 223pp 1–37https://doi.org/10.1145/3510409

Published:09 September 2022Publication History

ACM Computing Surveys

Abstract

Point-of-Interest recommendation is an area of increasing research and development interest within the widely adopted technologies known as Recommender Systems. Among them, those that exploit information coming from Location-Based Social Networks are very popular nowadays and could work with different information sources, which pose several challenges and research questions to the community as a whole. We present a systematic review focused on the research done over the past 10 years about this topic. We discuss and categorize the algorithms and evaluation methodologies used in these works and point out the opportunities and challenges that remain open in the field. More specifically, we report on the leading recommendation techniques and information sources that have been exploited more often (such as the geographical signal and deep learning approaches) while we also examine the lack of reproducibility in the field that may hinder real performance improvements.

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Index Terms

Point-of-Interest Recommender Systems Based on Location-Based Social Networks: A Survey from an Experimental Perspective
1. Information systems
  1. Information retrieval

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Published in
ACM Computing Surveys Volume 54, Issue 11s
January 2022
785 pages
ISSN:0360-0300
EISSN:1557-7341
DOI:10.1145/3551650
Editor:
Albert Zomaya
University of Sydney, Australia
Issue’s Table of Contents
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 the author(s) 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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Publication History
- Published: 9 September 2022
- Online AM: 14 January 2022
- Accepted: 1 December 2021
- Revised: 1 September 2021
- Received: 1 July 2020
Published in csur Volume 54, Issue 11s

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Recommender systems
point-of-interest recommendation
location-based social network
evaluation methodology
reproducibility
Qualifiers
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Point-of-Interest Recommender Systems Based on Location-Based Social Networks: A Survey from an Experimental Perspective

ACM Computing Surveys

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Index Terms

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A Reliable Point of Interest Recommendation based on Trust Relevancy between Users

A Deep Point-of-Interest Recommendation System in Location-Based Social Networks

A Unified Point-of-Interest Recommendation Framework in Location-Based Social Networks