Name
Abstract | ||
|---|---|---|
Q&A sites continue to flourish as a large number of users rely on them as useful substitutes for incomplete or missing search results. In this paper, we present our experience with developing Confucius, a Google Q&A service launched in 21 countries and four languages by the end of 2009. Confucius employs six data mining subroutines to harness synergy between web search and social networks. We present these subroutines' design goals, algorithms, and their effects on service quality. We also describe techniques for and experience with scaling the subroutines to mine massive data sets. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.14778/1920841.1921025 | PVLDB |
Keywords | Field | DocType |
social network,intelligent disciple,google q,service quality,missing search result,harness synergy,large number,data mining subroutine,web search,massive data set,design goal | Data science,Data mining,World Wide Web,Data set,Social network,Subroutine,Service quality,Computer science,Database | Journal |
Volume | Issue | ISSN |
3 | 1-2 | 2150-8097 |
Citations | PageRank | References |
19 | 0.93 | 14 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiance Si | 1 | 93 | 6.98 |
| Edward Y. Chang | 2 | 4519 | 336.59 |
| Zoltán Gyöngyi | 3 | 926 | 67.74 |
| Maosong Sun | 4 | 2293 | 162.86 |