Graph-Based recommendation in the Museum

Tsvi Kuflik; Einat Minkov; Keren Kahanov

Graph-Based recommendation in the Museum

Tsvi Kuflik, Einat Minkov, Keren Kahanov

Research output: Contribution to journal › Conference article › peer-review

Abstract

Mobile Cultural Heritage (CH) is a challenging area for recommendation. On the one hand visitors to CH sites have their own identity and preferences and on the other hand they may be open for new experiences. Still, in a mobile setting, successful recommendations are those that appear at the top 1 or top 3 results, given the small size of the mobile device screen and the limited attention of the users. We present how graph based techniques may enable combining visitors preferences and contextual aspects for recommendations in CH.

Original language	American English
Pages (from-to)	46-48
Number of pages	3
Journal	CEUR Workshop Proceedings
Volume	1278
State	Published - 1 Jan 2014
Externally published	Yes
Event	1st International Workshop on Decision Making and Recommender Systems, DMRS 2014 - Bolzano, Italy Duration: 18 Sep 2014 → 19 Sep 2014

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

Cultural heritage
Museum visitors' guide
Recommender system

All Science Journal Classification (ASJC) codes

General Computer Science

Cite this

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title = "Graph-Based recommendation in the Museum",

abstract = "Mobile Cultural Heritage (CH) is a challenging area for recommendation. On the one hand visitors to CH sites have their own identity and preferences and on the other hand they may be open for new experiences. Still, in a mobile setting, successful recommendations are those that appear at the top 1 or top 3 results, given the small size of the mobile device screen and the limited attention of the users. We present how graph based techniques may enable combining visitors preferences and contextual aspects for recommendations in CH.",

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T1 - Graph-Based recommendation in the Museum

AU - Kuflik, Tsvi

AU - Minkov, Einat

AU - Kahanov, Keren

PY - 2014/1/1

Y1 - 2014/1/1

N2 - Mobile Cultural Heritage (CH) is a challenging area for recommendation. On the one hand visitors to CH sites have their own identity and preferences and on the other hand they may be open for new experiences. Still, in a mobile setting, successful recommendations are those that appear at the top 1 or top 3 results, given the small size of the mobile device screen and the limited attention of the users. We present how graph based techniques may enable combining visitors preferences and contextual aspects for recommendations in CH.

AB - Mobile Cultural Heritage (CH) is a challenging area for recommendation. On the one hand visitors to CH sites have their own identity and preferences and on the other hand they may be open for new experiences. Still, in a mobile setting, successful recommendations are those that appear at the top 1 or top 3 results, given the small size of the mobile device screen and the limited attention of the users. We present how graph based techniques may enable combining visitors preferences and contextual aspects for recommendations in CH.

KW - Cultural heritage

KW - Museum visitors' guide

KW - Recommender system

UR - http://www.scopus.com/inward/record.url?scp=84910092403&partnerID=8YFLogxK

M3 - Conference article

SN - 1613-0073

VL - 1278

SP - 46

EP - 48

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 1st International Workshop on Decision Making and Recommender Systems, DMRS 2014

Y2 - 18 September 2014 through 19 September 2014

ER -

Graph-Based recommendation in the Museum

Abstract

UN SDGs

Keywords

All Science Journal Classification (ASJC) codes

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