Name
Abstract | ||
|---|---|---|
The query logs from an on-line map query system provide rich cues to understand the behaviors of human crowds. With the growing ability of collecting large scale query logs, the query suggestion has been a topic of recent interest. In general, query suggestion aims at recommending a list of relevant queries w.r.t. users' inputs via an appropriate learning of crowds' query logs. In this paper, we a... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TKDE.2017.2700392 | IEEE Transactions on Knowledge and Data Engineering |
Keywords | Field | DocType |
Context modeling,Data models,Recurrent neural networks,Computational modeling,Predictive models,Correlation | Crowds,Data modeling,Search engine,Computer science,Recurrent neural network,Long short term memory,Context model,Artificial intelligence,Recall,Machine learning | Journal |
Volume | Issue | ISSN |
29 | 9 | 1041-4347 |
Citations | PageRank | References |
5 | 0.40 | 32 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jun Song | 1 | 41 | 3.33 |
| Jun Xiao | 2 | 513 | 50.95 |
| Fei Wu | 3 | 2209 | 153.88 |
| Haishan Wu | 4 | 12 | 0.85 |
| Zhang, Tong | 5 | 7126 | 611.43 |
| Zhongfei (Mark) Zhang | 6 | 2451 | 164.30 |
| Wenwu Zhu | 7 | 4399 | 300.42 |