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...
| Autor principal: | |
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| Outros Autores: | , , , , , |
| Formato: | conferenceObject |
| Idioma: | eng |
| Publicado em: |
2021
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10071/23678 |
| País: | Portugal |
| Oai: | oai:repositorio.iscte-iul.pt:10071/23678 |