Journal of the Korean Society for Library and Information Science
- P-ISSN1225-598X
- E-ISSN2982-6292
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Performance Evaluation of Re-ranking and Query Expansion for Citation Metrics: Based on Citation Index Databases
Yong-Gu Lee
Abstract
The purpose of this study is to explore the potential contribution of citation metrics to improving the search performance of citation index databases. To this end, the study generated ten queries in the field of library and information science and conducted experiments based on the relevance assessment using 3,467 documents retrieved from the Web of Science and 60,734 documents published in 85 SSCI journals in the field of library and information science from 2000 to 2021. The experiments included re-ranking of the top 100 search results using citation metrics and search methods, query expansion experiments using vector space model retrieval systems, and the construction of a citation-based re-ranking system. The results are as follows: 1) Re-ranking using citation metrics differed from Web of Science’s performance, acting as independent metrics. 2) Combining query term frequencies and citation counts positively affected performance. 3) Query expansion generally improved performance compared to the vector space model baseline. 4) User-based query expansion outperformed system-based. 5) Combining citation counts with suitability documents affected ranking within top suitability documents.
- keywords
- Information Retrieval, Citation Metrics, Re-Ranking, Query Expansion, Performance Evaluation
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