The Role Of Network Distance In Linkedin People Search

SIGIR '14: The 37th International ACM SIGIR Conference on Research and Development in Information Retrieval Gold Coast Queensland Australia July, 2014(2014)

引用 19|浏览23
暂无评分
摘要
LinkedIn is the world's largest professional network, with over 300 million members. One of the primary activities on the site is people search, for which LinkedIn members are both the users and the corpus. This paper presents insights about people search behavior on LinkedIn, based on a log analysis and a user study. In particular, it examines the role that network distance plays in name searches and non-name searches. For name searches, users primarily click on only one of the results, and closer network distance leads to higher click-through rates. In contrast, for non-name searches, users are more likely to click on multiple results that are not in their existing connections, but with whom they have shared connections. The results show that, while network distance contributes significantly to LinkedIn search engagement in general, its role varies dramatically depending on the type of search query.
更多
查看译文
关键词
Social network,exploratory search,people search
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