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 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- Cultural heritage
- Museum visitors' guide
- Recommender system
ASJC Scopus subject areas
- General Computer Science
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