Name
Abstract | ||
|---|---|---|
Current information retrieval (IR) is mainly focused on retrieving documents that have not been read before, and to our knowledge, no research has been conducted for querying against already read documents. For such documents, querying based on visual memory is often helpful. In this paper, a framework for querying structured documents by making use of human visual memory is proposed, and index structure suitable for such framework is presented. Specifically, we discuss our proposal in the context of personalization, where a vast amount of primary source documents is reconstructed for end-users reflecting their preferences. We also mention some clues to implement our framework as well as future directions. |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1109/DANTE.1999.844969 | DANTE |
Keywords | Field | DocType |
structured document,vast amount,current information retrieval,structured documents,retrieving document,index structure,future direction,human visual memory,primary source document,visual memory,packaging,information retrieval,personalization,primary source documents,full text search,world wide web | World Wide Web,Information retrieval,Computer science,Visual memory,Document handling,Primary source,Personalization,Visual Word | Conference |
ISBN | Citations | PageRank |
0-7695-0496-5 | 0 | 0.34 |
References | Authors | |
2 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Soichiro Hidaka | 1 | 185 | 14.89 |
| Hiroyuki Kato | 2 | 0 | 0.34 |
| Keizo Oyama | 3 | 181 | 37.70 |