Name
Abstract | ||
|---|---|---|
This paper describes our information retrieval system participated in CLIR task of NTCIR3 and reports the results with some observations. Most previous information retrieval models assume that terms of queries and documents are statistically independent from each another. However, independence assumption is obviously and openly understood to be wrong. We presented two method of incorporating the term dependences in probabilistic retrieval model to compensate the weakness of the linked dependence assumption. |
Year | Venue | Keywords |
|---|---|---|
2002 | NTCIR | term dependence,probabilistic model,information retrieval |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
7 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Changki Lee | 1 | 279 | 26.18 |
| Seungwoo Lee | 2 | 366 | 42.33 |
| Gary Geunbae Lee | 3 | 932 | 93.23 |