PPS-POI-Rec: a privacy preserving social point-of-interest recommender system

Xiao Liu, An Liu, Guanfeng Liu, Zhixu Li, Jiajie Xu, Pengpeng Zhao, Lei Zhao

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

1 Citation (Scopus)


Point-of-Interest (POI) recommendation is an important task for location based service (LBS) providers. Social POI recommendation outperforms traditional, non-social approaches as social relations among users (a.k.a. social graph) could be used as a data source to calculate user similarities, which is generally hard to evaluate due to the lack of sufficient user check-in data. However, the social graph is typically owned by a social networking service (SNS) provider such as Facebook and should be hidden from LBS provider for obvious reasons of commercial benefits, as well as due to privacy legislation. In this paper, we present PPS-POI-Rec, a novel privacy preserving social POI recommender system that enables SNS provider and LBS provider to cooperatively recommend a set of POIs to a target user while keeping their private data secret. We will demonstrate step by step how a social POI recommendation can be jointly made by SNS provider and LBS provider, without revealing their private data to each other.

Original languageEnglish
Title of host publicationWeb Technologies and Applications
Subtitle of host publication17th Asia-Pacific Web Conference, APWeb 2015, Proceedings
EditorsReynold Cheng, Bin Cui, Zhenjie Zhang, Ruichu Cai, Jia Xu
PublisherSpringer, Springer Nature
Number of pages4
ISBN (Electronic)9783319252551
ISBN (Print)9783319252544
Publication statusPublished - 2015
Externally publishedYes
EventAsia-Pacific Web Conference (17th : 2015) - Guangzhou, China
Duration: 18 Sept 201520 Sept 2015
Conference number: 17th

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)03029743
ISSN (Electronic)16113349


ConferenceAsia-Pacific Web Conference (17th : 2015)
Abbreviated titleAPWeb 2015


  • POI recommendation
  • Privacy preserving recommendation
  • Social recommendation


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