将建议放在地图上-可视化集群和关系
Putting Recommendations on the Map -- Visualizing Clusters and Relations
摘要：
对于用户来说，推荐有时看起来很奇怪或违反直觉。可视化推荐可以消除一些这种神秘感，显示推荐如何与其他选择分组。绘图还可以将用户的眼睛引导到其他选项。传统的点的2D嵌入可用于创建基本布局，但这些方法本身并不能很好地说明聚类和邻域。在本文中，我们建议使用地理地图，以提高集群和社区的定义，并考虑这种方法的有效性，在可视化的相似性和建议所产生的电视节目和音乐选择。本文中引用的所有地图均可在http://www.research.att.com/~volinsky/maps中找到
英文摘要：
For users, recommendations can sometimes seem odd or counterintuitive. Visualizing recommendations can remove some of this mystery, showing how a recommendation is grouped with other choices. A drawing can also lead a user's eye to other options. Traditional 2D-embeddings of points can be used to create a basic layout, but these methods, by themselves, do not illustrate clusters and neighborhoods very well. In this paper, we propose the use of geographic maps to enhance the definition of clusters and neighborhoods, and consider the effectiveness of this approach in visualizing similarities and recommendations arising from TV shows and music selections. All the maps referenced in this paper can be found in http://www.research.att.com/~volinsky/maps
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
