Improving the Results of Google Scholar Engine through Automatic Query Expansion Mechanism and Pseudo Re-ranking using MVRA
In this paper, we address the enhancing of Google Scholar engine, in the context of text retrieval, through two mechanisms related to the interrogation protocol of that query expansion and reformulation. The both schemes are applied with re-ranking results using a pseudo relevance feedback algorithm...
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| Format: | Article |
| Language: | English |
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University of Zagreb, Faculty of organization and informatics
2018-12-01
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| Series: | Journal of Information and Organizational Sciences |
| Subjects: | |
| Online Access: | https://jios.foi.hr/index.php/jios/article/view/1123 |
| _version_ | 1818353835767234560 |
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| author | Mawloud Mosbah |
| author_facet | Mawloud Mosbah |
| author_sort | Mawloud Mosbah |
| collection | DOAJ |
| description | In this paper, we address the enhancing of Google Scholar engine, in the context of text retrieval, through two mechanisms related to the interrogation protocol of that query expansion and reformulation. The both schemes are applied with re-ranking results using a pseudo relevance feedback algorithm that we have proposed previously in the context of Content based Image Retrieval (CBIR) namely Majority Voting Re-ranking Algorithm (MVRA). The experiments conducted using ten queries reveal very promising results in terms of effectiveness. |
| first_indexed | 2024-12-13T19:15:51Z |
| format | Article |
| id | doaj.art-74c68760bb714ae798ccad40eb588f22 |
| institution | Directory Open Access Journal |
| issn | 1846-3312 1846-9418 |
| language | English |
| last_indexed | 2024-12-13T19:15:51Z |
| publishDate | 2018-12-01 |
| publisher | University of Zagreb, Faculty of organization and informatics |
| record_format | Article |
| series | Journal of Information and Organizational Sciences |
| spelling | doaj.art-74c68760bb714ae798ccad40eb588f222022-12-21T23:34:17ZengUniversity of Zagreb, Faculty of organization and informaticsJournal of Information and Organizational Sciences1846-33121846-94182018-12-0142210.31341/jios.42.2.51123Improving the Results of Google Scholar Engine through Automatic Query Expansion Mechanism and Pseudo Re-ranking using MVRAMawloud Mosbah0University 20 Août 1955 of SkikdaIn this paper, we address the enhancing of Google Scholar engine, in the context of text retrieval, through two mechanisms related to the interrogation protocol of that query expansion and reformulation. The both schemes are applied with re-ranking results using a pseudo relevance feedback algorithm that we have proposed previously in the context of Content based Image Retrieval (CBIR) namely Majority Voting Re-ranking Algorithm (MVRA). The experiments conducted using ten queries reveal very promising results in terms of effectiveness.https://jios.foi.hr/index.php/jios/article/view/1123Information RetrievalGoogle engineQuery ExpansionQuery ReformulationRe-rankingPseudo Relevance FeedbackMVRA. |
| spellingShingle | Mawloud Mosbah Improving the Results of Google Scholar Engine through Automatic Query Expansion Mechanism and Pseudo Re-ranking using MVRA Journal of Information and Organizational Sciences Information Retrieval Google engine Query Expansion Query Reformulation Re-ranking Pseudo Relevance Feedback MVRA. |
| title | Improving the Results of Google Scholar Engine through Automatic Query Expansion Mechanism and Pseudo Re-ranking using MVRA |
| title_full | Improving the Results of Google Scholar Engine through Automatic Query Expansion Mechanism and Pseudo Re-ranking using MVRA |
| title_fullStr | Improving the Results of Google Scholar Engine through Automatic Query Expansion Mechanism and Pseudo Re-ranking using MVRA |
| title_full_unstemmed | Improving the Results of Google Scholar Engine through Automatic Query Expansion Mechanism and Pseudo Re-ranking using MVRA |
| title_short | Improving the Results of Google Scholar Engine through Automatic Query Expansion Mechanism and Pseudo Re-ranking using MVRA |
| title_sort | improving the results of google scholar engine through automatic query expansion mechanism and pseudo re ranking using mvra |
| topic | Information Retrieval Google engine Query Expansion Query Reformulation Re-ranking Pseudo Relevance Feedback MVRA. |
| url | https://jios.foi.hr/index.php/jios/article/view/1123 |
| work_keys_str_mv | AT mawloudmosbah improvingtheresultsofgooglescholarenginethroughautomaticqueryexpansionmechanismandpseudorerankingusingmvra |