Proceedings of the 3rd International Conference on Integrated Intelligent Computing Communication & Security (ICIIC 2021)

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A Study of Prototyping in Information Retrieval Process Utilizing Context Requirements and Feature Sample Sizes

Authors
K N Sridevi, S Prakasha
Corresponding Author
K N Sridevi
Available Online 13 September 2021.
DOI
10.2991/ahis.k.210913.012How to use a DOI?
Keywords
Information retrieval system, Mathematical modeling formatting, Term dependency modeling, Term weighting
Abstract

Information retrieval can provide organizations with immediate value, Information retrieval has become a core of the current information managing systems, this has given profound importance on how we gather effective information in a huge pile of data. Information retrieval is a highly debated issue in a variety of fields. Today right from digital library to media searching information retrieval has taken up the place in the industry. Effective simulation is the foundation of effective information retrieval. These frameworks were divided into two groups based on their statistical estimation methods: models where the terminology dependency is being checked and also the models where the weighting features of the terms are being taken into consideration. Most models found an understanding term freedom, whereas others take this relationship into account. Term weighting, but in the other end, is a technique for effectively indexing a text. The intention of this research article is to compare and contrast various information retrieval structures that use term dependence/independence and term weighting.

Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 3rd International Conference on Integrated Intelligent Computing Communication & Security (ICIIC 2021)
Series
Atlantis Highlights in Computer Sciences
Publication Date
13 September 2021
ISBN
10.2991/ahis.k.210913.012
ISSN
2589-4900
DOI
10.2991/ahis.k.210913.012How to use a DOI?
Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - K N Sridevi
AU  - S Prakasha
PY  - 2021
DA  - 2021/09/13
TI  - A Study of Prototyping in Information Retrieval Process Utilizing Context Requirements and Feature Sample Sizes
BT  - Proceedings of the 3rd International Conference on Integrated Intelligent Computing Communication & Security (ICIIC 2021)
PB  - Atlantis Press
SP  - 86
EP  - 95
SN  - 2589-4900
UR  - https://doi.org/10.2991/ahis.k.210913.012
DO  - 10.2991/ahis.k.210913.012
ID  - Sridevi2021
ER  -