Graph-Based Recommendation Integrating Rating History and Domain Knowledge: Application to On-Site Guidance of Museum Visitors
Graph-Based Recommendation Integrating Rating History and Domain Knowledge: Application to On-Site Guidance of Museum Visitors
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DOI：
10.1002/asi.23837
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发表时间：
2017-08-01
影响因子：
3.5
通讯作者：
Kuflik, Tsvi
中科院分区：
文献类型：
--
作者：
Minkov, Einat;Kahanov, Keren;Kuflik, Tsvi
参观博物馆和其他文化遗产地的游客会遇到各种主题领域的丰富展品，但只能探索其中的一小部分。此外，通常存在可以向参观者传递有关感兴趣的展品的丰富补充信息，但在有限的参观时间内只能消耗该信息的一小部分。推荐系统可以帮助访问者应对这种信息过载。理想情况下，选择的推荐系统应该对用户偏好以及博物馆环境的背景知识进行建模，同时考虑物理和主题相关性。我们提出了一种基于图的个性化推荐框架，将评级历史和背景多方面信息共同表示为关系图。应用随机游走测量，根据可用的补充多媒体演示与访问者个人资料的相关性，整合各个维度，对可用的补充多媒体演示进行排名。我们报告使用赫克特博物馆收集的真实数据进行的实验结果。 1 与几种流行和最先进的推荐方法相比，对多个图变体的评估表明了基于图的方法的优势。
Visitors to museums and other cultural heritage sites encounter a wealth of exhibits in a variety of subject areas, but can explore only a small number of them. Moreover, there typically exists rich complementary information that can be delivered to the visitor about exhibits of interest, but only a fraction of this information can be consumed during the limited time of the visit. Recommender systems may help visitors to cope with this information overload. Ideally, the recommender system of choice should model user preferences, as well as background knowledge about the museum's environment, considering aspects of physical and thematic relevancy. We propose a personalized graph-based recommender framework, representing rating history and background multi-facet information jointly as a relational graph. A random walk measure is applied to rank available complementary multimedia presentations by their relevancy to a visitor's profile, integrating the various dimensions. We report the results of experiments conducted using authentic data collected at the Hecht museum. 1 An evaluation of multiple graph variants, compared with several popular and state-of-theart recommendation methods, indicates on advantages of the graph-based approach.