Masaki Eto
ABSTRACT
In the field of academic document search, citations are often used for measuring implicit relationships between documents. Recently, some studies have attempted to extend co-citation searching. However, these studies mainly focus on comparisons of traditional co-citation and extended co-citation search methods; combination effects of word-based and extended co-citation search algorithms have not yet been sufficiently evaluated. This paper empirically evaluates the search performance of the combination search by using a test collection comprising about 152,000 documents and a metric 'precision at k.' The experimental results indicate that the combination search outperforms two baseline methods: a word-based search and a combination search of word-based and traditional co-citation search algorithms.
- Eto, M. 2013. Evaluations of context-based co-citation searching, Scientometrics 94, 2, 651--673. Google Scholar
Digital Library
- Eto, M. 2014. Document retrieval method using random walk with restart on weighted co-citation network, In Proceedings of the 77th ASIS&T Annual Meeting.Google ScholarCross Ref
- Gipp, B. and Beel, J. 2009. Citation proximity analysis (CPA) - A new approach for identifying related work based on co-citation analysis. In Proceedings of the 12th ISSI Conference. 2, 571--575.Google Scholar
- Tong, H., Faloutsos, C. and Pan, J. 2008. Random walk with restart: fast solutions and applications. Knowledge and Information Systems, 14, 3, 327--346. Google ScholarDigital Library
Index Terms
- Combination Effects of Word-based and Extended Co-citation Search Algorithms
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