<div class="csl-bib-body">
<div class="csl-entry">Weydemann, L. F. A. (2020). <i>Location recommendations from user mobile trajectories</i> [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2020.59222</div>
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dc.identifier.uri
https://doi.org/10.34726/hss.2020.59222
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/1157
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dc.description.abstract
Location Recommenders (LR) are location based recommender systems which use locations from historic user trajectories to recommend new places such as locations of sights, museums, or other places of interest by learning past preferences. In this work we analyze the viability of different LR models to be used with mobile hotspots which are handed out to tourists in different hotels in the city of Vienna. As these devices can be potentially used by thousands of users at any given time, we explore different methods of data collection, management and visualization. Whenever systems are used in assisting humans with their decision processes, the implications of algorithmically made recommendations need to be analyzed. For LR fairness can be defined for both users and locations, as both can be subject to unfairness. We propose a framework in which multiple fairness aspects can be formulated. We compare the LR in three fairness aspects formulated in the framework and their predictive accuracy, to give a final assessment of which LR is preferable in this scenario.
en
dc.language
English
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dc.language.iso
en
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dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
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dc.subject
Geografische Empfehlungssysteme
de
dc.subject
Empfehlungssysteme
de
dc.subject
Fairness
de
dc.subject
Location Recommenders
en
dc.subject
Recommender Systems
en
dc.subject
Fairness
en
dc.title
Location recommendations from user mobile trajectories
en
dc.type
Thesis
en
dc.type
Hochschulschrift
de
dc.rights.license
In Copyright
en
dc.rights.license
Urheberrechtsschutz
de
dc.identifier.doi
10.34726/hss.2020.59222
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dc.contributor.affiliation
TU Wien, Österreich
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dc.rights.holder
Leonard Felix Amedeo Weydemann
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dc.publisher.place
Wien
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tuw.version
vor
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tuw.thesisinformation
Technische Universität Wien
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dc.contributor.assistant
Sacharidis, Dimitrios
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tuw.publication.orgunit
E194 - Institut für Information Systems Engineering