Name
Title | ||
|---|---|---|
A light-weight feedback method for reconstructing a document vector space on a feature extraction model |
Abstract | ||
|---|---|---|
In this paper, we propose a document retrieval system with a light-weight feedback method for reconstructing a document vector space, which is developed on a Feature Extraction Model (FEM). FEM makes it possible to realize a light-weight creation of vector spaces by feature terms extracted from the pre-prepared documents and we can apply the feedback method dynamically to reconstruct the vector spaces based on intensions of users. Retrieval results can be improved through the proposed feedback process because the distributions of documents on the reconstructed vector space are arranged properly according to purposes and interests of users. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1145/1363686.1363956 | SAC |
Keywords | Field | DocType |
reconstructed vector space,pre-prepared document,retrieval result,light-weight creation,document retrieval system,vector space,feature extraction model,feedback method dynamically,light-weight feedback method,document vector space,proposed feedback process,vector space model,feature extraction,document retrieval,semantic search | Data mining,Feature vector,Vector space,Semantic search,Pattern recognition,Computer science,Finite element method,Feature extraction,Artificial intelligence,Vector space model,Document retrieval | Conference |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kosuke Takano | 1 | 48 | 15.61 |
| Xing Chen | 2 | 9 | 6.98 |