Name
Abstract | ||
|---|---|---|
Individualized knowledge recommendation service has been widely applied and generalized in the big data environment, of which the foundation and core lies in the construction of user model. In this context, this paper emphatically studies the vector space model (VSM) representation-based user model construction by sorting out the concept and method of user model. The modeling process is also analyzed in detail from such aspects as user data classification, user characteristics model representation and similarity calculation, to conclude a user modeling-based individualized knowledge recommendation process with digital library as an example. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/SKG.2017.00035 | 2017 13th International Conference on Semantics, Knowledge and Grids (SKG) |
Keywords | Field | DocType |
knowledge recommendation,user model,vector space model,cosine similarity | Data mining,Data modeling,Computer science,Context model,Sorting,User modeling,Vector space model,Data classification,Digital library,Big data | Conference |
ISSN | ISBN | Citations |
2325-0623 | 978-1-5386-2559-0 | 0 |
PageRank | References | Authors |
0.34 | 4 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaohong Jin | 1 | 0 | 1.01 |
| Hui Li | 2 | 202 | 34.25 |
| Yanjun Liu | 3 | 0 | 0.68 |
| Liqun Wen | 4 | 0 | 0.34 |
| Yanfang Fan | 5 | 16 | 2.38 |
| Qi Hao | 6 | 0 | 0.34 |