A survey on information retrieval systems' modeling using term dependencies and term weighting
Mabrouk, Doaa; Rady, Sherine; Badr, Nagwa; khalifa, mohamed essam;
Abstract
Information retrieval is a major area of research in various areas. Efficient information retrieval is based on efficient modeling. These models are classified according to two different mathematical modeling approaches: models for term dependency and term weighting. Some models assume term independence, while others do consider this dependency relation. On the other hand, term weighting is a method that tries to index the document in an effective way. The aim of this survey paper is to discuss and esteem different information retrieval models which employ both term dependence/independence, as well as term weighting.
Other data
| Title | A survey on information retrieval systems' modeling using term dependencies and term weighting | Authors | Mabrouk, Doaa; Rady, Sherine ; Badr, Nagwa ; khalifa, mohamed essam | Keywords | Information retrieval system;Mathematical modeling formatting;Term weighting;Term dependency modeling | Issue Date | 16-Jan-2018 | Publisher | IEEE | Conference | 2017 IEEE 8th International Conference on Intelligent Computing and Information Systems, ICICIS 2017 | ISBN | 9772371723 | DOI | 10.1109/INTELCIS.2017.8260073 | Scopus ID | 2-s2.0-85047211746 |
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| ICICIS.2017_mabrouk-et-al.pdf | 560.07 kB | Adobe PDF | Request a copy |
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