Name
Title | ||
|---|---|---|
Tag Expansion Using Friendship Information: Services for Picking-a-crowd for Crowdsourcing |
Abstract | ||
|---|---|---|
To address self-tagging concerns, some social networks' websites, such as LinkedIn and Sina Weibo, allow users to tag themselves as part of their profiles; however, due to privacy or other unknown reasons, most of the users take just a few tags. Self-tag sparsity refers to the problem of low recall obtained when searching for people on systems based on user profiles. In this paper, we use not only users' self-tags but also their friend relationships (which are often not hidden) to expand the tag list and measure the effectiveness of different types of friendship links and their self-tags. Experimental results show that friendship information (friendship links and profiles) can effectively improve the performance of tag expansion, especially for common users who have limited followers. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-662-45558-6_3 | Communications in Computer and Information Science |
Keywords | Field | DocType |
Tag expansion,Self-tag mining,Energy function,Machine learning | Information system,Internet privacy,World Wide Web,Social network,Friendship,Crowdsourcing,Recall,Geography | Conference |
Volume | ISSN | Citations |
489 | 1865-0929 | 0 |
PageRank | References | Authors |
0.34 | 19 | 6 |