Cluster Language Model for Improved E-Commerce Retrieval and Ranking: Leveraging Query Similarity and Fine-Tuning for Personalized Results

This paper proposes a novel method to improve the accuracy of product search in e-commerce by utilizing a cluster language model. The method aims to address the limitations of the bi-encoder architecture while maintaining a minimal additional training burden. The approach involves labeling top produ...

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Hauptverfasser:	Don, Duleep Rathgamage, Xie, Ying, Yu, Le, Hughes, Simon, Zhu, Yun
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Information Retrieval
Online-Zugang:	Volltext bestellen
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