A string proximity-based approach to result ranking for terminological search
Učënye zapiski Kazanskogo universiteta. Seriâ Fiziko-matematičeskie nauki, Uchenye Zapiski Kazanskogo Universiteta. Seriya Fiziko-Matematicheskie Nauki, Tome 156 (2014) no. 1, pp. 12-21

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In this article, a modification of the full-text approach to information retrieval is carried out by using semantic information about technical terms in text. The question of choosing a ranking metric for this type of search is raised. Several existing ranking metrics are discussed, and a new metric is proposed, which uses the features of terminological information retrieval. The proposed ranking metrics are experimentally compared, and the efficiency of the search system itself is estimated.
Keywords: information retrieval, ranking, technical terms.
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     author = {D. A. Zaikin},
     title = {A string proximity-based approach to result ranking for terminological search},
     journal = {U\v{c}\"enye zapiski Kazanskogo universiteta. Seri\^a Fiziko-matemati\v{c}eskie nauki},
     pages = {12--21},
     publisher = {mathdoc},
     volume = {156},
     number = {1},
     year = {2014},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/UZKU_2014_156_1_a1/}
}
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D. A. Zaikin. A string proximity-based approach to result ranking for terminological search. Učënye zapiski Kazanskogo universiteta. Seriâ Fiziko-matematičeskie nauki, Uchenye Zapiski Kazanskogo Universiteta. Seriya Fiziko-Matematicheskie Nauki, Tome 156 (2014) no. 1, pp. 12-21. http://geodesic.mathdoc.fr/item/UZKU_2014_156_1_a1/