A New Algorithm for Literature Recommendation Based on a Bibliographic Heterogeneous Information Network. Issue 4 (1st July 2018)

• Record Type: Journal Article
• Authors: Li, Linna; Wang, Lijun; Jiang, Xueqin; Han, Hongqi; Zhai, Yun
• Is Part Of: Chinese journal of electronics. Volume 27:Issue 4(2018)
• Page Start: 761
• Page End: 767
• Publication Date: 2018-07-01
• Subjects: Literature recommendation algorithm -- Heterogeneous information network -- Meta‐path -- Classification -- Bayesian ranking; bibliographic systems -- information networks -- literature -- recommender systems; semantic information -- implicit feedback -- bibliographic heterogeneous information network -- literature recommendation algorithm; Electronics -- Periodicals; Electronics -- China -- Periodicals; Electronics; China; Periodicals; 621.38105
• DOI: 10.1049/cje.2018.05.002
• Languages: English
• ISSNs: 1022-4653

Abstract

Abstract : A literature recommendation algorithm based on a heterogeneous information network is proposed. The proposed algorithm can process different types of semantic information and implicit feedback. The experimental results show that the proposed algorithm can provide more effective recommendations than those algorithms without employing these semantic information and implicit feedback.