A New Algorithm for Literature Recommendation Based on a Bibliographic Heterogeneous Information Network  

作　　者：LI Linna WANG Lijun JIANG Xueqin HAN Hongqi ZHAI Yun 

机构地区：[1]Institute of Scientific and Technical Information of China, Beijing 100038, China [2]E-Government Research Center, Chinese Academy of Governance, Beijing 100089, China

出　　处：《Chinese Journal of Electronics》2018年第4期761-767,共7页电子学报（英文版）

基　　金：supported by the National Science and Technology Support Program of China:Research and Application Demonstration of Information Service System for the Analysis of Scientific and Technical Information(No.2015BAH25FOO);National Natural Science Foundation of China(No.71473237,No.61672178)

摘　　要：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.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.

关 键 词：Literature recommendation algorithm Heterogeneous information network Meta-path Classification Bayesian ranking 

分 类 号：TP391.3[自动化与计算机技术—计算机应用技术]