Location-aware group preference queries in social-networks

Ammar Sohail, Arif Hidayat, Muhammad Aamir Cheema, David Taniar

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

7 Citations (Scopus)

Abstract

With the recent advances in location-acquisition techniques and GPS-embedded mobile devices, traditional social networks such as Twitter and Facebook have acquired the dimension of location. This in result has facilitated the generation of geo-tagged data (e.g., check-ins) at unprecedented scale and have essentially enhanced the user experience in location-based services associated with social networks. Typical location-based social networks allow people to check-in at a location of interest using smart devices which then is published on social network and this information can be exploited for recommendation. In this paper, we propose a new type of query called Geo-Social Group preference Top-k (SG-Topk) query. For a group of users, a SG-Topk query returns top-k places that are most likely to satisfy the needs of users based on spatial and social relevance. Finally, we conduct an exhaustive evaluation of proposed schemes to answer the query and demonstrate the effectiveness of the proposed approaches.

Original languageEnglish
Title of host publicationDatabases Theory and Applications
Subtitle of host publication29th Australasian Database Conference, ADC 2018, Gold Coast, QLD, Australia, May 24-27, 2018, Proceedings
EditorsJunhu Wang, Gao Cong, Jinjun Chen, Jianzhong Qi
Place of PublicationCham Switzerland
PublisherSpringer
Pages53-67
Number of pages15
ISBN (Electronic)9783319920139
ISBN (Print)9783319920122
DOIs
Publication statusPublished - 1 Jan 2018
EventAustralasian Database Conference 2018 - Griffith University, Gold Coast, Australia
Duration: 24 May 201827 May 2018
Conference number: 29th
http://www.ict.griffith.edu.au/conferences/adc2018/
https://link.springer.com/book/10.1007/978-3-319-92013-9 (Proceedings)

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume10837
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceAustralasian Database Conference 2018
Abbreviated titleADC 2018
Country/TerritoryAustralia
CityGold Coast
Period24/05/1827/05/18
Internet address

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