Semantic Search System using Word Embeddings for query expansion

Miguel A. Silva-Fuentes, Hugo D. Calderon-Vilca, Edwin F. Calderon-Vilca, Flor C. Cárdenas-Marino

Research output: Contribution to conferencePaper

Abstract

© 2019 IEEE. In the present the amount of documents on the web has increased a lot, which has brought as a consequence that the terms that were previously necessary to find the information the user needs now end up being very vague and less precise. In this paper we focus on the use of word embeddings based on Word2Vec to implement another information retrieval system with semantical capabilities, what has been achieved in the present work is a new way of increasing the capabilities of a common search system(demonstrated by the increase in MAP and Precision).
Original languageAmerican English
DOIs
StatePublished - 1 Sep 2019
Event2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019 -
Duration: 1 Sep 2019 → …

Conference

Conference2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019
Period1/09/19 → …

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  • Cite this

    Silva-Fuentes, M. A., Calderon-Vilca, H. D., Calderon-Vilca, E. F., & Cárdenas-Marino, F. C. (2019). Semantic Search System using Word Embeddings for query expansion. Paper presented at 2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019, . https://doi.org/10.1109/ISGT-LA.2019.8894992