基于记忆优化机制的图书群组推荐研究  

Research on Book Group Recommendation Based on Memory Optimization Mechanism

作　　者：熊回香[1] 王妞妞 刘梦豪 黄晓捷 XIONG Hui-xiang;WANG Niu-niu;LIU Meng-hao;HUANG Xiao-jie(School of Information Management,Central China Normal University,Wuhan 430019,China)

机构地区：[1]华中师范大学信息管理学院,湖北武汉430079

出　　处：《情报科学》2022年第4期9-17,共9页Information Science

基　　金：国家社会科学基金年度项目“融合知识图谱和深度学习的在线学术资源挖掘与推荐研究”(19BTQ005)。

摘　　要：【目的/意义】针对社会化标注过程中标签频次不能准确表征用户偏好,以及图书推荐过程中面临的数据稀疏和冷启动问题。【方法/过程】本文基于记忆优化机制,提出读者偏好表示方法,以“豆瓣读书”作为实证对象,利用DBSCAN算法聚类结果评价该方法,实验证明该方法具有较好的表征效果。为解决图书推荐过程中面临的冷启动、数据稀疏等问题,以基于记忆优化机制的读者偏好表示为基础,开展图书群组推荐研究。【结果/结论】实验结果显示,本文提出的推荐方法具有较高的准确率、召回率和F值。【创新/局限】本文提出了基于记忆优化机制的读者偏好表示方法对挖掘读者偏好和开展推荐服务具有重要意义,但在读者偏好构建过程中还需进一步细化认知构建和更新过程,必要时可考虑利用更多读者属性完善记忆构建和优化机制。【Purpose/significance】In the process of social tagging,tag frequency can not accurately represent user preferences,as well as the problem of data sparsity and cold start in the process of book recommendation.【Method/process】Based on the memory optimization mechanism,this paper proposes a method to express readers’preferences.Taking"Douban Shudu"as the empirical object,the DBSCAN clustering results are used to evaluate the method.and the experimental results show that the method has good representation effect.In order to solve the problems of cold start and data sparsity in the process of book recommendation,this paper studies book group recommendation on the basis of reader preference representation based on memory optimization mechanism.【Results/conclusion】The experimental results show that the proposed method has high accuracy,recall and F value.【Innovation/limitation】This paper proposes a method to express readers’preferences based on memory optimization mechanism,which is of great significance to mining readers’preferences and developing recommendation services.However,in the process of constructing readers’preferences,we need to further refine the process of cognitive construction and updating.If necessary,we can consider using more readers’attributes to improve the mechanism of memory construction and optimization.

关 键 词：记忆优化机制 社会化标注 DBSCAN 偏好表示 群组推荐 

分 类 号：G250.7[文化科学—图书馆学] G254.9