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A Query Expansion Method Using Multinomial Naive Bayes

Computer Science Department, Escuela Superior de Ingeniería Informática, Universidade de Vigo, 32004 Ourense, Spain
CINBIO-Biomedical Research Centre, Universidade de Vigo, 36310 Vigo, Spain
SING Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, 36312 Vigo, Spain
Author to whom correspondence should be addressed.
Academic Editor: Arturo Montejo-Ráez
Appl. Sci. 2021, 11(21), 10284;
Received: 15 September 2021 / Revised: 22 October 2021 / Accepted: 28 October 2021 / Published: 2 November 2021
(This article belongs to the Special Issue Current Approaches and Applications in Natural Language Processing)
Information retrieval (IR) aims to obtain relevant information according to a certain user need and involves a great diversity of data such as texts, images, or videos. Query expansion techniques, as part of information retrieval (IR), are used to obtain more items, particularly documents, that are relevant to the user requirements. The user initial query is reformulated, adding meaningful terms with similar significance. In this study, a supervised query expansion technique based on an innovative use of the Multinomial Naive Bayes to extract relevant terms from the first documents retrieved by the initial query is presented. The proposed method was evaluated using MAP and R-prec on the first 5, 10, 15, and 100 retrieved documents. The improved performance of the expanded queries increased the number of relevant retrieved documents in comparison to the baseline method. We achieved more accurate document retrieval results (MAP 0.335, R-prec 0.369, P5 0.579, P10 0.469, P15 0.393, P100 0.175) as compared to the top performers in TREC2017 Precision Medicine Track. View Full-Text
Keywords: query expansion; information retrieval; multinomial naive bayes; relevance feedback query expansion; information retrieval; multinomial naive bayes; relevance feedback
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MDPI and ACS Style

Silva, S.; Seara Vieira, A.; Celard, P.; Iglesias, E.L.; Borrajo, L. A Query Expansion Method Using Multinomial Naive Bayes. Appl. Sci. 2021, 11, 10284.

AMA Style

Silva S, Seara Vieira A, Celard P, Iglesias EL, Borrajo L. A Query Expansion Method Using Multinomial Naive Bayes. Applied Sciences. 2021; 11(21):10284.

Chicago/Turabian Style

Silva, Sergio, Adrián Seara Vieira, Pedro Celard, Eva Lorenzo Iglesias, and Lourdes Borrajo. 2021. "A Query Expansion Method Using Multinomial Naive Bayes" Applied Sciences 11, no. 21: 10284.

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