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A Survey of Query Expansion Methods to Improve Relevant Search Engine Results

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@article{IJASEIT8868,
   author = {Nuhu Yusuf and Mohd Amin Mohd Yunus and Norfaradilla Wahid and Aida Mustapha and Mohd Najib Mohd Salleh},
   title = {A Survey of Query Expansion Methods to Improve Relevant Search Engine Results},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {11},
   number = {4},
   year = {2021},
   pages = {1352--1359},
   keywords = {Query expansion; query expansion methods; query expansion methods; search engine; information retrieval.},
   abstract = {Due to large volumes of documents available for retrieval in a search database, an intelligent method is required to retrieve relevant search results. Query expansion is one of such methods widely used in retrieving pertinent results of various search domains. The increased amount of information stored in a search engine database requires the use of query expansion. A query expansion deals with expanding the query by adding additional information to the query for effective retrieving relevant results. Recently, many query expansion techniques have been proposed to addresses the vocabulary mismatch problem that may arise in the information retrieval system. However, these techniques still have low precision results. This paper presents a systematic review of query expansion research from 1999 to 2018. The paper reviewed and discussed 573 research papers on query expansion methods and their application areas. It focuses only on the query expansion in text retrieval of search engines. This review's primary goal is to provide a broad overview of query expansion research and view how research approaches changed. The research paper analyzed and presented the contributions of each query expansion study. It also identifies major application areas of query expansions and their future opportunities. The finding of this study indicates a trend towards using semantic-ontology and pseudo-relevant feedbacks methods. This work will be beneficial to query expansion researchers in extending future work on query expansion research.},
   issn = {2088-5334},
   publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},
   url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=8868},
   doi = {10.18517/ijaseit.11.4.8868}
}

EndNote

%A Yusuf, Nuhu
%A Mohd Yunus, Mohd Amin
%A Wahid, Norfaradilla
%A Mustapha, Aida
%A Mohd Salleh, Mohd Najib
%D 2021
%T A Survey of Query Expansion Methods to Improve Relevant Search Engine Results
%B 2021
%9 Query expansion; query expansion methods; query expansion methods; search engine; information retrieval.
%! A Survey of Query Expansion Methods to Improve Relevant Search Engine Results
%K Query expansion; query expansion methods; query expansion methods; search engine; information retrieval.
%X Due to large volumes of documents available for retrieval in a search database, an intelligent method is required to retrieve relevant search results. Query expansion is one of such methods widely used in retrieving pertinent results of various search domains. The increased amount of information stored in a search engine database requires the use of query expansion. A query expansion deals with expanding the query by adding additional information to the query for effective retrieving relevant results. Recently, many query expansion techniques have been proposed to addresses the vocabulary mismatch problem that may arise in the information retrieval system. However, these techniques still have low precision results. This paper presents a systematic review of query expansion research from 1999 to 2018. The paper reviewed and discussed 573 research papers on query expansion methods and their application areas. It focuses only on the query expansion in text retrieval of search engines. This review's primary goal is to provide a broad overview of query expansion research and view how research approaches changed. The research paper analyzed and presented the contributions of each query expansion study. It also identifies major application areas of query expansions and their future opportunities. The finding of this study indicates a trend towards using semantic-ontology and pseudo-relevant feedbacks methods. This work will be beneficial to query expansion researchers in extending future work on query expansion research.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=8868
%R doi:10.18517/ijaseit.11.4.8868
%J International Journal on Advanced Science, Engineering and Information Technology
%V 11
%N 4
%@ 2088-5334

IEEE

Nuhu Yusuf,Mohd Amin Mohd Yunus,Norfaradilla Wahid,Aida Mustapha and Mohd Najib Mohd Salleh,"A Survey of Query Expansion Methods to Improve Relevant Search Engine Results," International Journal on Advanced Science, Engineering and Information Technology, vol. 11, no. 4, pp. 1352-1359, 2021. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.11.4.8868.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Yusuf, Nuhu
AU  - Mohd Yunus, Mohd Amin
AU  - Wahid, Norfaradilla
AU  - Mustapha, Aida
AU  - Mohd Salleh, Mohd Najib
PY  - 2021
TI  - A Survey of Query Expansion Methods to Improve Relevant Search Engine Results
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 11 (2021) No. 4
Y2  - 2021
SP  - 1352
EP  - 1359
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - Query expansion; query expansion methods; query expansion methods; search engine; information retrieval.
N2  - Due to large volumes of documents available for retrieval in a search database, an intelligent method is required to retrieve relevant search results. Query expansion is one of such methods widely used in retrieving pertinent results of various search domains. The increased amount of information stored in a search engine database requires the use of query expansion. A query expansion deals with expanding the query by adding additional information to the query for effective retrieving relevant results. Recently, many query expansion techniques have been proposed to addresses the vocabulary mismatch problem that may arise in the information retrieval system. However, these techniques still have low precision results. This paper presents a systematic review of query expansion research from 1999 to 2018. The paper reviewed and discussed 573 research papers on query expansion methods and their application areas. It focuses only on the query expansion in text retrieval of search engines. This review's primary goal is to provide a broad overview of query expansion research and view how research approaches changed. The research paper analyzed and presented the contributions of each query expansion study. It also identifies major application areas of query expansions and their future opportunities. The finding of this study indicates a trend towards using semantic-ontology and pseudo-relevant feedbacks methods. This work will be beneficial to query expansion researchers in extending future work on query expansion research.
UR  - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=8868
DO  - 10.18517/ijaseit.11.4.8868

RefWorks

RT Journal Article
ID 8868
A1 Yusuf, Nuhu
A1 Mohd Yunus, Mohd Amin
A1 Wahid, Norfaradilla
A1 Mustapha, Aida
A1 Mohd Salleh, Mohd Najib
T1 A Survey of Query Expansion Methods to Improve Relevant Search Engine Results
JF International Journal on Advanced Science, Engineering and Information Technology
VO 11
IS 4
YR 2021
SP 1352
OP 1359
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 Query expansion; query expansion methods; query expansion methods; search engine; information retrieval.
AB Due to large volumes of documents available for retrieval in a search database, an intelligent method is required to retrieve relevant search results. Query expansion is one of such methods widely used in retrieving pertinent results of various search domains. The increased amount of information stored in a search engine database requires the use of query expansion. A query expansion deals with expanding the query by adding additional information to the query for effective retrieving relevant results. Recently, many query expansion techniques have been proposed to addresses the vocabulary mismatch problem that may arise in the information retrieval system. However, these techniques still have low precision results. This paper presents a systematic review of query expansion research from 1999 to 2018. The paper reviewed and discussed 573 research papers on query expansion methods and their application areas. It focuses only on the query expansion in text retrieval of search engines. This review's primary goal is to provide a broad overview of query expansion research and view how research approaches changed. The research paper analyzed and presented the contributions of each query expansion study. It also identifies major application areas of query expansions and their future opportunities. The finding of this study indicates a trend towards using semantic-ontology and pseudo-relevant feedbacks methods. This work will be beneficial to query expansion researchers in extending future work on query expansion research.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=8868
DO  - 10.18517/ijaseit.11.4.8868