Name
Abstract | ||
|---|---|---|
•We introduce a method to add effective personalization functions on the top of the current cross-language search systems.•We describe a method that goes beyond linear combination approach for personalized results adaptation.•We develop an evaluation methodology to help lower the common high barrier to the evaluation of cross-language personalized systems. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.ins.2017.11.044 | Information Sciences |
Keywords | Field | DocType |
Personalized cross-language information retrieval,Results adaptation,User model,Iterative method | Linear combination,Personalized search,Ranking,Iterative method,Artificial intelligence,Mathematics,Machine learning,Personalization | Journal |
Volume | ISSN | Citations |
430 | 0020-0255 | 2 |
PageRank | References | Authors |
0.37 | 34 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dong Zhou | 1 | 69 | 7.35 |
| Wenyu Zhao | 2 | 11 | 2.21 |
| Xuan Wu | 3 | 11 | 2.21 |
| Séamus Lawless | 4 | 111 | 30.18 |
| Jianxun Liu | 5 | 640 | 67.12 |