Providing customised information panel content based on user behavioral patterns

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F18%3A43914737" target="_blank" >RIV/62156489:43110/18:43914737 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.13164/mendel.2018.1.173" target="_blank" >https://doi.org/10.13164/mendel.2018.1.173</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.13164/mendel.2018.1.173" target="_blank" >10.13164/mendel.2018.1.173</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Providing customised information panel content based on user behavioral patterns

Popis výsledku v původním jazyce

Although mobile applications are commonly using user location and behavior to provide relevant content, public information panels usually lack the ability to adjust the content for a particular user or a group of users. Therefore, we focused on the development of information panels that are able, in combination with a mobile application, to collect anonymous location data about the users, identify key behavioral patterns and provide content that is relevant for the users in the panel vicinity. The key property of our solution is the anonymity of the collected information and privacy in general. The proposed algorithm consists of the data clustering and subsequent analysis. Described solution can be used in any public building or campus that the users visit regularly.

Název v anglickém jazyce

Providing customised information panel content based on user behavioral patterns

Popis výsledku anglicky

Although mobile applications are commonly using user location and behavior to provide relevant content, public information panels usually lack the ability to adjust the content for a particular user or a group of users. Therefore, we focused on the development of information panels that are able, in combination with a mobile application, to collect anonymous location data about the users, identify key behavioral patterns and provide content that is relevant for the users in the panel vicinity. The key property of our solution is the anonymity of the collected information and privacy in general. The proposed algorithm consists of the data clustering and subsequent analysis. Described solution can be used in any public building or campus that the users visit regularly.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Mendel

ISSN

1803-3814

e-ISSN

—

Svazek periodika

24

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

8

Strana od-do

173-180

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85071974462