Retrieving top-k famous places in location-based social networks

Ammar Sohail; Ghulam Murtaza; David Taniar

doi:10.1007/978-3-319-46922-5_2

Retrieving top-k famous places in location-based social networks

Ammar Sohail, Ghulam Murtaza, David Taniar

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research

4 Citations (Scopus)

Abstract

The widespread proliferation of location-acquisition techniques and GPS-embedded mobile devices have resulted in the generation of geo-tagged data at unprecedented scale and have essentially enhanced the user experience in location-based services associated with social networks. Such location-based social networks allow people to record and share their location and are a rich source of information which can be exploited to study people’s various attributes and characteristics to provide various Geo-Social (GS) services. In this paper, we propose a new type of query called Top-k famous places T_kFP query, which enriches the semantics of the conventional spatial query by introducing a social relevance component. In addition, three approaches namely, (1) Social-First (2) Spatial-First and (3) Hybrid are proposed to efficiently process T_kFP queries. Finally, we conduct an exhaustive evaluation of the proposed schemes using real and synthetic datasets and demonstrate the effectiveness of the proposed approaches.

Original language	English
Title of host publication	Databases Theory and Applications
Subtitle of host publication	27th Australasian Database Conference, ADC 2016, Sydney, NSW, September 28–29, 2016,Proceedings
Editors	Muhammad Aamir Cheema, Lijun Chang, Wenjie Zhang
Place of Publication	Cham, Switzerland
Publisher	Springer
Pages	17-30
Number of pages	14
ISBN (Electronic)	9783319469225
ISBN (Print)	9783319469218
DOIs	https://doi.org/10.1007/978-3-319-46922-5_2
Publication status	Published - 2016
Event	Australasian Database Conference 2016 - The University of New South Wales, Sydney, Australia Duration: 28 Sept 2016 → 29 Sept 2016 Conference number: 27th https://adc2016.cse.unsw.edu.au/ https://link.springer.com/book/10.1007/978-3-319-46922-5 (Proceedings)

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	9877 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Australasian Database Conference 2016
Abbreviated title	ADC 2016
Country/Territory	Australia
City	Sydney
Period	28/09/16 → 29/09/16
Other	The Australasian Database Conference series is an annual forum for sharing the latest research progresses and novel applications of database systems, data driven applications and data analytics for researchers and practitioners in these areas from Australia, New Zealand and in the world.
Internet address	https://adc2016.cse.unsw.edu.au/ https://link.springer.com/book/10.1007/978-3-319-46922-5 (Proceedings)

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10.1007/978-3-319-46922-5_2

Cite this

Sohail, A., Murtaza, G., & Taniar, D. (2016). Retrieving top-k famous places in location-based social networks. In M. Aamir Cheema, L. Chang, & W. Zhang (Eds.), Databases Theory and Applications: 27th Australasian Database Conference, ADC 2016, Sydney, NSW, September 28–29, 2016,Proceedings (pp. 17-30). (Lecture Notes in Computer Science ; Vol. 9877 LNCS). Springer. https://doi.org/10.1007/978-3-319-46922-5_2

Sohail, Ammar ; Murtaza, Ghulam ; Taniar, David. / Retrieving top-k famous places in location-based social networks. Databases Theory and Applications: 27th Australasian Database Conference, ADC 2016, Sydney, NSW, September 28–29, 2016,Proceedings. editor / Muhammad Aamir Cheema ; Lijun Chang ; Wenjie Zhang. Cham, Switzerland : Springer, 2016. pp. 17-30 (Lecture Notes in Computer Science ).

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abstract = "The widespread proliferation of location-acquisition techniques and GPS-embedded mobile devices have resulted in the generation of geo-tagged data at unprecedented scale and have essentially enhanced the user experience in location-based services associated with social networks. Such location-based social networks allow people to record and share their location and are a rich source of information which can be exploited to study people{\textquoteright}s various attributes and characteristics to provide various Geo-Social (GS) services. In this paper, we propose a new type of query called Top-k famous places TkFP query, which enriches the semantics of the conventional spatial query by introducing a social relevance component. In addition, three approaches namely, (1) Social-First (2) Spatial-First and (3) Hybrid are proposed to efficiently process TkFP queries. Finally, we conduct an exhaustive evaluation of the proposed schemes using real and synthetic datasets and demonstrate the effectiveness of the proposed approaches.",

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booktitle = "Databases Theory and Applications",

note = "Australasian Database Conference 2016, ADC 2016 ; Conference date: 28-09-2016 Through 29-09-2016",

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Sohail, A, Murtaza, G & Taniar, D 2016, Retrieving top-k famous places in location-based social networks. in M Aamir Cheema, L Chang & W Zhang (eds), Databases Theory and Applications: 27th Australasian Database Conference, ADC 2016, Sydney, NSW, September 28–29, 2016,Proceedings. Lecture Notes in Computer Science , vol. 9877 LNCS, Springer, Cham, Switzerland, pp. 17-30, Australasian Database Conference 2016, Sydney, New South Wales, Australia, 28/09/16. https://doi.org/10.1007/978-3-319-46922-5_2

Retrieving top-k famous places in location-based social networks. / Sohail, Ammar; Murtaza, Ghulam; Taniar, David.
Databases Theory and Applications: 27th Australasian Database Conference, ADC 2016, Sydney, NSW, September 28–29, 2016,Proceedings. ed. / Muhammad Aamir Cheema; Lijun Chang; Wenjie Zhang. Cham, Switzerland: Springer, 2016. p. 17-30 (Lecture Notes in Computer Science ; Vol. 9877 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research

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Sohail A, Murtaza G, Taniar D. Retrieving top-k famous places in location-based social networks. In Aamir Cheema M, Chang L, Zhang W, editors, Databases Theory and Applications: 27th Australasian Database Conference, ADC 2016, Sydney, NSW, September 28–29, 2016,Proceedings. Cham, Switzerland: Springer. 2016. p. 17-30. (Lecture Notes in Computer Science ). doi: 10.1007/978-3-319-46922-5_2

Retrieving top-k famous places in location-based social networks

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