This work was supported by the National Social Science Funds of China, “Smart Online Health Resource Mining and Intelligent Service Research Driven by Digital Intelligence” (Project No. 22ATQ004).
机构署名：
本校为第一机构
院系归属：
信息管理学院
摘要：
Purpose
The purpose of this study is to investigate how book group recommendations can be used as a meaningful way to suggest suitable books to users, given the increasing number of individuals engaging in sharing and discussing books on the web.
Design/methodology/approach
The authors propose reviews fine-grained classification (CFGC) and its related models such as CFGC1 for book group recommendation. These models can categorize reviews successively by function and role. Constructing the BERT-BiLSTM model to classify the reviews by function. T...
