Today's article comes from the EECCIS journal: Electrics, Electronics, Communications, Controls, Informatics, and Systems. The authors are Daffa et al., from the University of Malang, in Indonesia. In this paper, they're bringing semantic similarity to library-databases. They combine TF-IDF (for keyword selection) and Wu-Palmer similarity (for semantic matching), and benchmark the combination against a large collection of books.
DOI: 10.21776/jeeccis.v19i3.1796
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