Workshop on human decision making in recommender systems: decisions@RecSys'13

RecSys(2013)

引用 1|浏览23
暂无评分
摘要
A primary function of recommender systems is to help their users to make better choices and decisions. The overall goal of the workshop is to analyse and discuss novel techniques and approaches for supporting effective and efficient human decision making in different types of recommendation scenarios. The submitted papers discuss a wide range of topics from core algorithmic issues to the management of the human computer interaction.
更多
查看译文
关键词
novel technique,efficient human decision,recommender system,core algorithmic issue,better choice,human computer interaction,primary function,different type,recommendation scenario,overall goal
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要