Cross-Domain Recommendation for Enhancing Cultural Heritage Experience

G. Sansonetti, Fabio Gasparetti, A. Micarelli
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引用次数: 18

Abstract

In this paper, we describe our research activities for integrating the recommendation process of nearby points of artistic and cultural interest (POIs) with related multimedia content. The recommendation engine exploits the potential offered by linked open data (LOD), by following semantic links in the LOD graph to identify movies, books, and music artists/songs related to that specific POI. This content is subsequently reranked based on the activity of the user and her friends on social media (i.e., Facebook), in order to provide personalized suggestions.
加强文化遗产体验的跨领域建议
在本文中,我们描述了我们的研究活动,以整合附近的艺术和文化兴趣点(poi)的推荐过程与相关的多媒体内容。推荐引擎利用链接开放数据(LOD)提供的潜力,通过遵循LOD图中的语义链接来识别与特定POI相关的电影、书籍和音乐艺术家/歌曲。随后,根据用户及其朋友在社交媒体(即Facebook)上的活动对这些内容进行重新排名,以便提供个性化建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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