Transformer-based language models for semantic search and mobile applications retrieval

Search engines are being extensively used by Mobile App Stores, where millions of users world-wide use them every day. However, some stores still resort to simple lexical-based search engines, despite the recent advances in Machine Learning, Information Retrieval, and Natural Language Processing, wh...

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Bibliographic Details
Main Author: Coelho, J. (author)
Other Authors: Neto, A. (author), Tavares, M. (author), Coutinho, C. (author), Oliveira, J. (author), Ribeiro, R. (author), Batista, F. (author)
Format: conferenceObject
Language:eng
Published: 2021
Subjects:
Semantic search
Word embeddings
ElasticSearch
Mobile applications
Transformer-based models
Online Access:http://hdl.handle.net/10071/23678
Country:Portugal
Oai:oai:repositorio.iscte-iul.pt:10071/23678

Internet

http://hdl.handle.net/10071/23678

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