A Survey of Information Retrieval Techniques

Mang’are Fridah Nyamisa; Waweru Mwangi; Wilson Cheruiyot

doi:doi:10.11648/j.net.20170502.12

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A Survey of Information Retrieval Techniques

Mang’are Fridah Nyamisa, Waweru Mwangi, Wilson Cheruiyot

Published in Advances in Networks (Volume 5, Issue 2)

Received: 25 June 2017 Accepted: 10 July 2017 Published: 28 November 2017

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Abstract

The explosive growth of resources stored in various forms and transmitted over the internet has necessitated researches into information retrieval technologies. The major information retrieval mechanisms commonly employed include vector space model, Boolean model, Fuzzy Set model, and probabilistic retrieval model. These models are used to find similarities between the query and the documents to retrieve documents that reflect the query. These approaches are based on key-word, which uses lists of keywords to describe the information content. In this paper, a survey of these models is provided in order to understand their working mechanisms and shortcomings. This understanding is vital as it facilitates the choice of an information retrieval technique, based on the underlying requirements. The results of this survey revealed that the current information retrieval models fall short of the expectations in one way or the other. As such, they are not ideal for high precision information retrieval applications.

Published in	Advances in Networks (Volume 5, Issue 2)
DOI	10.11648/j.net.20170502.12
Page(s)	40-46
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Information Retrieval, Model, Fuzzy, Boolean, Probabilistic, Query

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APA Style

Mang’are Fridah Nyamisa, Waweru Mwangi, Wilson Cheruiyot. (2017). A Survey of Information Retrieval Techniques. Advances in Networks, 5(2), 40-46. https://doi.org/10.11648/j.net.20170502.12

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ACS Style

Mang’are Fridah Nyamisa; Waweru Mwangi; Wilson Cheruiyot. A Survey of Information Retrieval Techniques. Adv. Netw. 2017, 5(2), 40-46. doi: 10.11648/j.net.20170502.12

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AMA Style

Mang’are Fridah Nyamisa, Waweru Mwangi, Wilson Cheruiyot. A Survey of Information Retrieval Techniques. Adv Netw. 2017;5(2):40-46. doi: 10.11648/j.net.20170502.12

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@article{10.11648/j.net.20170502.12,
  author = {Mang’are Fridah Nyamisa and Waweru Mwangi and Wilson Cheruiyot},
  title = {A Survey of Information Retrieval Techniques},
  journal = {Advances in Networks},
  volume = {5},
  number = {2},
  pages = {40-46},
  doi = {10.11648/j.net.20170502.12},
  url = {https://doi.org/10.11648/j.net.20170502.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.net.20170502.12},
  abstract = {The explosive growth of resources stored in various forms and transmitted over the internet has necessitated researches into information retrieval technologies. The major information retrieval mechanisms commonly employed include vector space model, Boolean model, Fuzzy Set model, and probabilistic retrieval model. These models are used to find similarities between the query and the documents to retrieve documents that reflect the query. These approaches are based on key-word, which uses lists of keywords to describe the information content. In this paper, a survey of these models is provided in order to understand their working mechanisms and shortcomings. This understanding is vital as it facilitates the choice of an information retrieval technique, based on the underlying requirements. The results of this survey revealed that the current information retrieval models fall short of the expectations in one way or the other. As such, they are not ideal for high precision information retrieval applications.},
 year = {2017}
}

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TY  - JOUR
T1  - A Survey of Information Retrieval Techniques
AU  - Mang’are Fridah Nyamisa
AU  - Waweru Mwangi
AU  - Wilson Cheruiyot
Y1  - 2017/11/28
PY  - 2017
N1  - https://doi.org/10.11648/j.net.20170502.12
DO  - 10.11648/j.net.20170502.12
T2  - Advances in Networks
JF  - Advances in Networks
JO  - Advances in Networks
SP  - 40
EP  - 46
PB  - Science Publishing Group
SN  - 2326-9782
UR  - https://doi.org/10.11648/j.net.20170502.12
AB  - The explosive growth of resources stored in various forms and transmitted over the internet has necessitated researches into information retrieval technologies. The major information retrieval mechanisms commonly employed include vector space model, Boolean model, Fuzzy Set model, and probabilistic retrieval model. These models are used to find similarities between the query and the documents to retrieve documents that reflect the query. These approaches are based on key-word, which uses lists of keywords to describe the information content. In this paper, a survey of these models is provided in order to understand their working mechanisms and shortcomings. This understanding is vital as it facilitates the choice of an information retrieval technique, based on the underlying requirements. The results of this survey revealed that the current information retrieval models fall short of the expectations in one way or the other. As such, they are not ideal for high precision information retrieval applications.
VL  - 5
IS  - 2
ER  -

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Author Information

Mang’are Fridah Nyamisa

Department of Computing, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
Waweru Mwangi

Department of Computing, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
Wilson Cheruiyot

Department of Computing, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya

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APA Style

Mang’are Fridah Nyamisa, Waweru Mwangi, Wilson Cheruiyot. (2017). A Survey of Information Retrieval Techniques. Advances in Networks, 5(2), 40-46. https://doi.org/10.11648/j.net.20170502.12

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ACS Style

Mang’are Fridah Nyamisa; Waweru Mwangi; Wilson Cheruiyot. A Survey of Information Retrieval Techniques. Adv. Netw. 2017, 5(2), 40-46. doi: 10.11648/j.net.20170502.12

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AMA Style

Mang’are Fridah Nyamisa, Waweru Mwangi, Wilson Cheruiyot. A Survey of Information Retrieval Techniques. Adv Netw. 2017;5(2):40-46. doi: 10.11648/j.net.20170502.12

Copy | Download

@article{10.11648/j.net.20170502.12,
  author = {Mang’are Fridah Nyamisa and Waweru Mwangi and Wilson Cheruiyot},
  title = {A Survey of Information Retrieval Techniques},
  journal = {Advances in Networks},
  volume = {5},
  number = {2},
  pages = {40-46},
  doi = {10.11648/j.net.20170502.12},
  url = {https://doi.org/10.11648/j.net.20170502.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.net.20170502.12},
  abstract = {The explosive growth of resources stored in various forms and transmitted over the internet has necessitated researches into information retrieval technologies. The major information retrieval mechanisms commonly employed include vector space model, Boolean model, Fuzzy Set model, and probabilistic retrieval model. These models are used to find similarities between the query and the documents to retrieve documents that reflect the query. These approaches are based on key-word, which uses lists of keywords to describe the information content. In this paper, a survey of these models is provided in order to understand their working mechanisms and shortcomings. This understanding is vital as it facilitates the choice of an information retrieval technique, based on the underlying requirements. The results of this survey revealed that the current information retrieval models fall short of the expectations in one way or the other. As such, they are not ideal for high precision information retrieval applications.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - A Survey of Information Retrieval Techniques
AU  - Mang’are Fridah Nyamisa
AU  - Waweru Mwangi
AU  - Wilson Cheruiyot
Y1  - 2017/11/28
PY  - 2017
N1  - https://doi.org/10.11648/j.net.20170502.12
DO  - 10.11648/j.net.20170502.12
T2  - Advances in Networks
JF  - Advances in Networks
JO  - Advances in Networks
SP  - 40
EP  - 46
PB  - Science Publishing Group
SN  - 2326-9782
UR  - https://doi.org/10.11648/j.net.20170502.12
AB  - The explosive growth of resources stored in various forms and transmitted over the internet has necessitated researches into information retrieval technologies. The major information retrieval mechanisms commonly employed include vector space model, Boolean model, Fuzzy Set model, and probabilistic retrieval model. These models are used to find similarities between the query and the documents to retrieve documents that reflect the query. These approaches are based on key-word, which uses lists of keywords to describe the information content. In this paper, a survey of these models is provided in order to understand their working mechanisms and shortcomings. This understanding is vital as it facilitates the choice of an information retrieval technique, based on the underlying requirements. The results of this survey revealed that the current information retrieval models fall short of the expectations in one way or the other. As such, they are not ideal for high precision information retrieval applications.
VL  - 5
IS  - 2
ER  -

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