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Why Bigger Windows Are Better Than Smaller Ones TITLE2
| Content Provider | Semantic Scholar |
|---|---|
| Author | Papka, Ron Allen, J. |
| Copyright Year | 1997 |
| Abstract | We investigate the use of multi-term query concepts to improve the performance of text-retrieval systems that accept ``natural-language'''' queries. A relevance feedback process is explained that massively expands an initial query with single and multi-term concepts. The multi-term concepts are modelled as a set of words appearing within windows of varying sizes. Experimental results suggest that windows of larger size yield improvements in average precision. The reason for this improvement is explored. A window size relaxation process that yields a significant reduction in expanded query size with no performance loss is also described. |
| File Format | PDF HTM / HTML |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |