|
eCommons@Cornell >
College of Engineering >
Computer Science >
Computer Science Technical Reports >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/1813/6721
| Title: | Term Weighting Approaches in Automatic Text Retrieval |
| Authors: | Salton, Gerard
Buckley, Chris |
| Keywords: | computer science
technical report |
| Issue Date: | Nov-1987 |
| Publisher: | Cornell University |
| Citation: | http://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR87-881 |
| Abstract: | The experimental evidence accumulated over the past 20 years indicates that textindexing systems based on the assignment of appropriately weighted single terms produce retrieval results that are superior to those obtainable with other more elaborate text representations. These results depend crucially on the choice of effective term weighting systems. This paper summarizes the insights gained in automatic term weighting, and provides baseline single term indexing models with which other more elaborate content analysis procedures can be compared. |
| URI: | http://hdl.handle.net/1813/6721 |
| Appears in Collections: | Computer Science Technical Reports
|
Items in eCommons are protected by copyright, with all rights reserved, unless otherwise indicated.
|
