Privacy-preserving point-of-interest recommendation based on geographical and social influence

Yongfeng Huo; Bilian Chen; Jing Tang; Yifeng Zeng

doi:10.1016/j.ins.2020.07.046

ScienceGate Book Chapters

JOURNAL ARTICLE

Privacy-preserving point-of-interest recommendation based on geographical and social influence

Yongfeng Huo Bilian Chen Jing Tang Yifeng Zeng

Year: 2020 Journal: Information Sciences Vol: 543 Pages: 202-218 Publisher: Elsevier BV

DOI: 10.1016/j.ins.2020.07.046

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Recommender system Point of interest Point (geometry) Information retrieval Entropy (arrow of time) Similarity (geometry) Data mining Internet privacy Artificial intelligence Mathematics Image (mathematics)

Metrics

Cited By

6.31

FWCI (Field Weighted Citation Impact)

Refs

0.97

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Privacy-Preserving Technologies in Data

Physical Sciences → Computer Science → Artificial Intelligence

Privacy, Security, and Data Protection

Social Sciences → Social Sciences → Sociology and Political Science

Mobile Crowdsensing and Crowdsourcing

Physical Sciences → Computer Science → Computer Science Applications

Privacy-preserving point-of-interest recommendation based on geographical and social influence

Metrics

Citation History

Topics

Related Documents

Personalized Point-of-Interest Recommendation Based on Social and Geographical Influence

Point of interest recommendation with social and geographical influence

POINT OF INTEREST RECOMMENDATION FOR GEOGRAPHICAL AND SOCIAL INFLUENCE IN LOCATION-BASED SOCIAL NETWORKS

An efficient privacy-preserving point-of-interest recommendation model based on local differential privacy

Textual-geographical-social aware point-of-interest recommendation