Graph-Based recommendation in the Museum

Tsvi Kuflik; Einat Minkov; Keren Kahanov

Graph-Based recommendation in the Museum

Tsvi Kuflik, Einat Minkov, Keren Kahanov

Department of Information Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › 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	English
Title of host publication	1st International Workshop on Decision Making and Recommender Systems, DMRS 2014
Pages	46-48
Number of pages	3
Volume	1278
State	Published - 2014
Event	1st International Workshop on Decision Making and Recommender Systems, DMRS 2014 - Bolzano, Italy Duration: 18 Sep 2014 → 19 Sep 2014

Publication series

Name	CEUR Workshop Proceedings
Publisher	CEUR-WS
ISSN (Print)	1613-0073

Conference

Conference	1st International Workshop on Decision Making and Recommender Systems, DMRS 2014
Country/Territory	Italy
City	Bolzano
Period	18/09/14 → 19/09/14

Keywords

Cultural heritage
Museum visitors' guide
Recommender system

ASJC Scopus subject areas

General Computer Science

UN SDGs

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

Access to Document

http://aiia2014.di.unipi.it/aich/index

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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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

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M3 - פרסום בספר כנס

AN - SCOPUS:84910092403

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ER -

Graph-Based recommendation in the Museum

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Other files and links

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Cite this