Exploiting Dual-Attention Networks for Explainable Recommendation in Heterogeneous Information Networks

The aim of explainable recommendation is not only to provide recommended items to users, but also to make users aware of why these items are recommended. Traditional recommendation methods infer user preferences for items using user–item rating information. However, the expressive power of latent re...

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Xehetasun bibliografikoak

Egile Nagusiak:	Xianglin Zuo, Tianhao Jia, Xin He, Bo Yang, Ying Wang
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2022-11-01
Saila:	Entropy
Gaiak:	heterogeneous information networks dual attention mechanism rating prediction meta-path
Sarrera elektronikoa:	https://www.mdpi.com/1099-4300/24/12/1718
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!