Diversifying Sequential Recommendation with Retrospective and Prospective Transformers

Previous studies on sequential recommendation (SR) have predominantly concentrated on optimizing recommendation accuracy. However, there remains a significant gap in enhancing recommendation diversity, particularly for short interaction sequences. The limited availability of interaction information...

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Veröffentlicht in:	ACM transactions on information systems 2024-09, Vol.42 (5), p.1-37, Article 132
Hauptverfasser:	Shi, Chaoyu, Ren, Pengjie, Fu, Dongjie, Xin, Xin, Yang, Shansong, Cai, Fei, Ren, Zhaochun, Chen, Zhumin
Format:	Artikel
Sprache:	eng
Schlagworte:	Information systems Recommender systems
Online-Zugang:	Volltext
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