现代情报2024，Vol.44Issue(5)：83-94,12.DOI:10.3969/j.issn.1008-0821.2024.05.007
融入用户反馈的网络知识社区好友推荐模型构建研究
Research on Building a Friend Recommendation Model Integrating User Feedback
摘要
Abstract
[Purpose/Significance]From the dual perspectives of user similarity calculation and user feedback,high-quality user recommendation is conducive to improving the personalized recommendation level of the network knowledge community.[Method/Process]Firstly,the paper collected and analyzed users'attributes data based on crawler tools and python packages to calculate the comprehensive similarity between user pairs in terms of background,social relationships,and blog information;then calculated the users'core scores and formed a recommendation list based on the similarity matrix and core user ranking;finally,introducing a user feedback mechanism and determine the best top-k friends based on posi-tive and negative feedback results of the user.[Result/Conclusion]The friend recommendation model incorporating user feedback can improve the quality of recommended users,effectively improve the level of friend recommendation,and also verify that friend recommendation is a gradual repair process.关键词
网络知识社区/好友推荐/用户相似度/核心度/用户反馈/虚拟社区/个性化推荐/推荐模型Key words
online knowledge community/friend recommendation/user similarity/user core scores/user feed-back/virtual community/personalized recommendation/recommendation model分类
社会科学引用本文复制引用
杨瑞仙,楚晨,金燕,于政杰..融入用户反馈的网络知识社区好友推荐模型构建研究[J].现代情报,2024,44(5):83-94,12.基金项目
河南省高等学校哲学社会科学基础研究重大项目"融入多用户属性的网络知识社区核心用户识别与推荐研究"(项目编号:2023-JCZD-27) （项目编号:2023-JCZD-27）
河南省高等学校青年骨干教师培养计划"学术虚拟社区知识交流机制的系统动力学仿真研究"(项目编号:2020GGJS012). （项目编号:2020GGJS012）
