Publication:

Analyzing Web behavior in indoor retail spaces

Date

Date

Date
2017
Journal Article
Published version

Citations

Citation copied

Ren, Y., Tomko, M., Salim, F. D., Ong, K., & Sanderson, M. (2017). Analyzing Web behavior in indoor retail spaces. Journal of the Association for Information Science and Technology, 68(1), 62–76. https://doi.org/10.1002/asi.23587

Abstract

Abstract

Abstract

We analyze 18- million rows of Wi-Fi access logs collected over a 1-year period from over 120,000 anonymized users at an inner city shopping mall. The anonymized data set gathered from an opt-in system provides users’ approximate physical location as well as web browsing and some search history. Such data provide a unique opportunity to analyze the interaction between people’s behavior in physical retail spaces and their web behavior, serving as a proxy to their information needs. We found that (a) there is a weekly periodicity in use

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Creators (Authors)

  • Ren, Yongli
    affiliation.icon.alt
  • Tomko, Martin
    affiliation.icon.alt
  • Salim, Flora Dilys
    affiliation.icon.alt
  • Ong, Kevin
    affiliation.icon.alt
  • Sanderson, Mark
    affiliation.icon.alt

Journal/Series Title

Journal/Series Title

Journal/Series Title

Volume

Volume

Volume
68

Number

Number

Number
1

Page range/Item number

Page range/Item number

Page range/Item number
62

Page end

Page end

Page end
76

Item Type

Item Type

Item Type
Journal Article

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Language

Language

Language
English

Publication date

Publication date

Publication date
2017

Date available

Date available

Date available
2016-01-21

Publisher

Publisher

Publisher

ISSN or e-ISSN

ISSN or e-ISSN

ISSN or e-ISSN
2330-1635

OA Status

OA Status

OA Status
Closed

Free Access at

Free Access at

Free Access at
Unspecified

Citations

Citation copied

Ren, Y., Tomko, M., Salim, F. D., Ong, K., & Sanderson, M. (2017). Analyzing Web behavior in indoor retail spaces. Journal of the Association for Information Science and Technology, 68(1), 62–76. https://doi.org/10.1002/asi.23587

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Files
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