Header

UZH-Logo

Maintenance Infos

Classical vs. crowdsourcing surveys for eliciting geographic relevance criteria


De Sabbata, Stefano; Alonso, Omar; Mizzaro, Stefano (2012). Classical vs. crowdsourcing surveys for eliciting geographic relevance criteria. In: IIR 2012 Italian Information Retrieval Workshop, Bari (Italy), 26 January 2012 - 27 January 2012, 65-72.

Abstract

Geographic relevance aims to assess the relevance of physical entities (e.g., shops and museums) in geographic space for a mobile user in a given context, thereby shifting the focus from the digital world (the realm of classical information retrieval) to the physical world. We study the elicitation of geographic relevance criteria by means of both a classical survey and an Amazon Mechanical Turk (a crowdsourcing platform) survey. This allows us to obtain three results: first, we gather a set of criteria and their relative importance; second, we gain a first insight on the differences between geographic relevance and classical relevance as commonly understoon in the IR field; and third we draw some considerations on the agreement, on the importance of specific criteria, among the participants to the classical and the crowdsourcing surveys.

Abstract

Geographic relevance aims to assess the relevance of physical entities (e.g., shops and museums) in geographic space for a mobile user in a given context, thereby shifting the focus from the digital world (the realm of classical information retrieval) to the physical world. We study the elicitation of geographic relevance criteria by means of both a classical survey and an Amazon Mechanical Turk (a crowdsourcing platform) survey. This allows us to obtain three results: first, we gather a set of criteria and their relative importance; second, we gain a first insight on the differences between geographic relevance and classical relevance as commonly understoon in the IR field; and third we draw some considerations on the agreement, on the importance of specific criteria, among the participants to the classical and the crowdsourcing surveys.

Statistics

Downloads

74 downloads since deposited on 16 Nov 2012
14 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Language:English
Event End Date:27 January 2012
Deposited On:16 Nov 2012 16:50
Last Modified:23 Aug 2017 05:25
Publisher:Dipartimento di Informatica (DIB), Università di Bari "Aldo Moro"
Series Name:CEUR Workshop Proceedings
Number:835
ISSN:1613-0073
Official URL:http://ceur-ws.org/Vol-835/

Download

Download PDF  'Classical vs. crowdsourcing surveys for eliciting geographic relevance criteria'.
Preview
Content: Published Version
Language: English
Filetype: PDF
Size: 774kB