Crawling hidden objects with kNN queries

Hui Yan; Zhiguo Gong; Nan Zhang; Tao Huang; Hua Zhong; Jun Wei

doi:10.1109/ICDE.2016.7498412

Crawling hidden objects with kNN queries

Hui Yan, Zhiguo Gong, Nan Zhang, Tao Huang, Hua Zhong, Jun Wei

College of Information Sciences and Technology

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

Abstract

With rapidly growing popularity, Location Based Services (LBS), e.g., Google Maps, Yahoo Local, WeChat, FourSquare, etc., started offering web-based search features that resemble a kNN query interface. Specifically, for a user-specified query location q, these websites extract from the objects in their backend database the top-k nearest neighbors to q and return these k objects to the user through the web interface. Here k is often a small value like 50 or 100. For example, McDonald [1] returns the top 25 nearest restaurants for a user-specified location through its locations search webpage.

Original language	English (US)
Title of host publication	2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1536-1537
Number of pages	2
ISBN (Electronic)	9781509020195
DOIs	https://doi.org/10.1109/ICDE.2016.7498412
State	Published - Jun 22 2016
Event	32nd IEEE International Conference on Data Engineering, ICDE 2016 - Helsinki, Finland Duration: May 16 2016 → May 20 2016

Publication series

Name	2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016

Other

Other	32nd IEEE International Conference on Data Engineering, ICDE 2016
Country/Territory	Finland
City	Helsinki
Period	5/16/16 → 5/20/16

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computational Theory and Mathematics
Computer Graphics and Computer-Aided Design
Computer Networks and Communications
Information Systems
Information Systems and Management

Access to Document

10.1109/ICDE.2016.7498412

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Yan, H., Gong, Z., Zhang, N., Huang, T., Zhong, H., & Wei, J. (2016). Crawling hidden objects with kNN queries. In 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016 (pp. 1536-1537). Article 7498412 (2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDE.2016.7498412

@inproceedings{65866324c1a34873ac2f0527599bb453,

title = "Crawling hidden objects with kNN queries",

abstract = "With rapidly growing popularity, Location Based Services (LBS), e.g., Google Maps, Yahoo Local, WeChat, FourSquare, etc., started offering web-based search features that resemble a kNN query interface. Specifically, for a user-specified query location q, these websites extract from the objects in their backend database the top-k nearest neighbors to q and return these k objects to the user through the web interface. Here k is often a small value like 50 or 100. For example, McDonald [1] returns the top 25 nearest restaurants for a user-specified location through its locations search webpage.",

author = "Hui Yan and Zhiguo Gong and Nan Zhang and Tao Huang and Hua Zhong and Jun Wei",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 32nd IEEE International Conference on Data Engineering, ICDE 2016 ; Conference date: 16-05-2016 Through 20-05-2016",

year = "2016",

month = jun,

day = "22",

doi = "10.1109/ICDE.2016.7498412",

language = "English (US)",

series = "2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1536--1537",

booktitle = "2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016",

address = "United States",

}

Yan, H, Gong, Z, Zhang, N, Huang, T, Zhong, H & Wei, J 2016, Crawling hidden objects with kNN queries. in 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016., 7498412, 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016, Institute of Electrical and Electronics Engineers Inc., pp. 1536-1537, 32nd IEEE International Conference on Data Engineering, ICDE 2016, Helsinki, Finland, 5/16/16. https://doi.org/10.1109/ICDE.2016.7498412

Crawling hidden objects with kNN queries. / Yan, Hui; Gong, Zhiguo; Zhang, Nan et al.
2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1536-1537 7498412 (2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016).

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

TY - GEN

T1 - Crawling hidden objects with kNN queries

AU - Yan, Hui

AU - Gong, Zhiguo

AU - Zhang, Nan

AU - Huang, Tao

AU - Zhong, Hua

AU - Wei, Jun

PY - 2016/6/22

Y1 - 2016/6/22

N2 - With rapidly growing popularity, Location Based Services (LBS), e.g., Google Maps, Yahoo Local, WeChat, FourSquare, etc., started offering web-based search features that resemble a kNN query interface. Specifically, for a user-specified query location q, these websites extract from the objects in their backend database the top-k nearest neighbors to q and return these k objects to the user through the web interface. Here k is often a small value like 50 or 100. For example, McDonald [1] returns the top 25 nearest restaurants for a user-specified location through its locations search webpage.

AB - With rapidly growing popularity, Location Based Services (LBS), e.g., Google Maps, Yahoo Local, WeChat, FourSquare, etc., started offering web-based search features that resemble a kNN query interface. Specifically, for a user-specified query location q, these websites extract from the objects in their backend database the top-k nearest neighbors to q and return these k objects to the user through the web interface. Here k is often a small value like 50 or 100. For example, McDonald [1] returns the top 25 nearest restaurants for a user-specified location through its locations search webpage.

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DO - 10.1109/ICDE.2016.7498412

M3 - Conference contribution

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T3 - 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016

SP - 1536

EP - 1537

BT - 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 32nd IEEE International Conference on Data Engineering, ICDE 2016

Y2 - 16 May 2016 through 20 May 2016

ER -

Crawling hidden objects with kNN queries

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All Science Journal Classification (ASJC) codes

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