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 |