Joint Search by Social and Spatial Proximity [Extended Abstract]

Joint Search by Social and Spatial Proximity [Extended Abstract]

The diffusion of social networks introduces new challengesand opportunities for advanced services, especially so with their ongoingaddition of location-based features. We show how applications like company andfriend recommendation could significantly benefit from incorporating social andspatial prox...

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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 2016
Subjects:
Data structures
Distributed databases
Educational institutions
Euclidean distance
Indexes
Social network services
Databases and Information Systems
Numerical Analysis and Scientific Computing
Online Access:https://ink.library.smu.edu.sg/sis_research/3216
https://ink.library.smu.edu.sg/context/sis_research/article/4218/viewcontent/8390110.pdf
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Institution: Singapore Management University
Language: English
Description
Summary:The diffusion of social networks introduces new challengesand opportunities for advanced services, especially so with their ongoingaddition of location-based features. We show how applications like company andfriend recommendation could significantly benefit from incorporating social andspatial proximity, and study a query type that captures these twofold semantics.We develop highly scalable algorithms for its processing, and use real socialnetwork data to empirically verify their efficiency and efficacy.

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