TY - GEN
T1 - From discussion to wisdom
T2 - 31st Annual ACM Symposium on Applied Computing, SAC 2016
AU - Li, Jing
AU - Xing, Zhenchang
AU - Ye, Deheng
AU - Zhao, Xuejiao
N1 - Publisher Copyright:
© 2016 ACM.
PY - 2016/4/4
Y1 - 2016/4/4
N2 - Stack Overflow has been providing question and answering service for 7 years. It has become a tremendous knowledge repository for developers' thoughts and practices. Hyperlinks in discussion threads of Stack Overflow are essential knowledge entities for programming on the Web, such as a software library, an API documentation, a code example, or a tutorial. Tens of millions of hyperlinks are disseminated in Stack Overflow, while wisdom on what web resources have been highly recognized by the community is implicit in millions of discussion threads. In this paper, we develop the WisLinker framework that extracts knowledge from discussion, then turns knowledge into wisdom by learning through the knowledge dissemination history. With this wisdom, for a specific hyperlink that users are concerned with, WisLinker can recommend web resources highly recognized by the Stack Overflow community. We evaluate the validity of WisLinker in an open-ended setting using Stack Overflow data dump. We also implement a browser extension for live recommendation of web resources while users browse web pages. WisLinker could enable more efficient exploratory search and information discovery of programming-related web resources.
AB - Stack Overflow has been providing question and answering service for 7 years. It has become a tremendous knowledge repository for developers' thoughts and practices. Hyperlinks in discussion threads of Stack Overflow are essential knowledge entities for programming on the Web, such as a software library, an API documentation, a code example, or a tutorial. Tens of millions of hyperlinks are disseminated in Stack Overflow, while wisdom on what web resources have been highly recognized by the community is implicit in millions of discussion threads. In this paper, we develop the WisLinker framework that extracts knowledge from discussion, then turns knowledge into wisdom by learning through the knowledge dissemination history. With this wisdom, for a specific hyperlink that users are concerned with, WisLinker can recommend web resources highly recognized by the Stack Overflow community. We evaluate the validity of WisLinker in an open-ended setting using Stack Overflow data dump. We also implement a browser extension for live recommendation of web resources while users browse web pages. WisLinker could enable more efficient exploratory search and information discovery of programming-related web resources.
KW - Browser extension
KW - Discussion threads
KW - Hyperlinks
KW - Knowledge and wisdom
KW - Web resource recommendation
UR - http://www.scopus.com/inward/record.url?scp=84975864748&partnerID=8YFLogxK
U2 - 10.1145/2851613.2851815
DO - 10.1145/2851613.2851815
M3 - Conference contribution
T3 - Proceedings of the ACM Symposium on Applied Computing
SP - 1127
EP - 1133
BT - 2016 Symposium on Applied Computing, SAC 2016
PB - Association for Computing Machinery
Y2 - 4 April 2016 through 8 April 2016
ER -