Joint search by social and spatial proximity

Joint search by social and spatial proximity

The diffusion of social networks introduces new challenges and opportunities for advanced services, especially so with their ongoing addition of location-based features. We show how applications like company and friend recommendation could significantly benefit from incorporating social and spatial...

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Bibliographic Details
Main Authors: MOURATIDIS, Kyriakos, LI, Jing, TANG, Yu, MAMOULIS, Nikos
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2015
Subjects:
Data structures
Distributed databases
Educational institutions
Euclidean distance
Indexes
Social network services
Tin
Databases and Information Systems
Numerical Analysis and Scientific Computing
Online Access:https://ink.library.smu.edu.sg/sis_research/2258
https://ink.library.smu.edu.sg/context/sis_research/article/3258/viewcontent/TKDE15_SSRQ.pdf
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Institution: Singapore Management University
Language: English
Description
Summary:The diffusion of social networks introduces new challenges and opportunities for advanced services, especially so with their ongoing addition of location-based features. We show how applications like company and friend recommendation could significantly benefit from incorporating social and spatial proximity, and study a query type that captures these two-fold semantics. We develop highly scalable algorithms for its processing, and enhance them with elaborate optimizations. Finally, we use real social network data to empirically verify the efficiency and efficacy of our solutions.

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