A Comparative Analysis of Sentence Embedding Techniques for Document Ranking

Due to the exponential increase in the information on the web, extracting relevant documents for users in a reasonable time becomes a cumbersome task. Also, when user feedback is scarce or unavailable, content-based approaches to extract and rank relevant documents are critical as they suffer from t...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Journal of web engineering 2022-01, Vol.21 (7), p.2149
Hauptverfasser:	Gupta, Vishal, Dixit, Ashutosh, Sethi, Shilpa
Format:	Artikel
Sprache:	eng
Schlagworte:	Coders Comparative analysis Data mining Datasets Documents Embedding Hybrid systems Information retrieval Literature reviews Machine learning Natural language processing Ranking Relevance Research methodology Search engines Semantics Sentences Sentiment analysis Similarity Social networks Systematic review
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!