高校图书馆学术资源推荐策略及系统架构研究

被引：5

作者：

李默 ^{[1
]}

梁永全 ^{[2
]}

机构：

[1] 山东科技大学图书馆

[2] 山东科技大学信息科学与工程学院

来源：

图书馆学研究 | 2015年 / 14期

关键词：

学术资源; 多Agent; 推荐策略; 系统架构; 个性化推荐;

D O I：

10.15941/j.cnki.issn1001-0424.2015.14.009

中图分类号：

G258.6 [高等学校、中等专业学校图书馆]; G253 [藏书建设和藏书组织];

学科分类号：

摘要：

为了进一步提高高校图书馆学术资源推荐的效率,提出适用于多种学术资源类型的推荐策略,并构建一种基于多Agent技术的推荐系统架构。通过设计多种功能Agent,系统可根据学术资源类型自适应选择推荐策略,在发挥Agent间协作优势的基础上,实现复杂计算的线下运行,从而改善系统的扩展性问题。实验结果表明,该系统在F1值和运行时间指标上均优于其他推荐方法。

引用

页码：57 / 62

页数：6

共 12 条

[1] 基于协同过滤的在线教学视频推荐方法
贾志洋
石宜金
李丁
马瑞英
[J]. 重庆工商大学学报(自然科学版), 2012, 29 (07) : 103 - 107
[2] Argumentation-enabled interest-based personalised recommender system
Bedi, Punam
Vashisth, Pooja
[J]. JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE, 2015, 27 (02) : 199 - 226
[3] Research on Personalized Courseware Recommendation System of Rural Distance Learning Based on Combination Recommendation Technology[J] . Xiao Rong Zhou,Meng Tian Song,Gan Wei Cai. Applied Mechanics and Materials . 2013 (373)
[4] Web analytics of user path tracing and a novel algorithm for generating recommendations in Open Journal Systems
Taraghi, Behnam
Grossegger, Martin
Ebner, Martin
Holzinger, Andreas
[J]. ONLINE INFORMATION REVIEW, 2013, 37 (05) : 672 - 691
[5] Recommender systems survey[J] . J. Bobadilla,F. Ortega,A. Hernando,A. Gutiérrez. Knowledge-Based Systems . 2013
[6] Implicit: a multi-agent recommendation system for web search[J] . Aliaksandr Birukou,Enrico Blanzieri,Paolo Giorgini. Autonomous Agents and Multi-Agent Systems . 2012 (1)
[7] Collaborative user modeling with user-generated tags for social recommender systems
Kim, Heung-Nam
Alkhaldi, Abdulmajeed
El Saddik, Abdulmotaleb
Jo, Geun-Sik
[J]. EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (07) : 8488 - 8496
[8] Improving Recommender Systems by Incorporating Social Contextual Information
Ma, Hao
Zhou, Tom Chao
Lyu, Michael R.
King, Irwin
[J]. ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2011, 29 (02)
[9] An architecture for making recommendations to courseware authors using association rule mining and collaborative filtering
Enrique García
Cristóbal Romero
Sebastián Ventura
Carlos de Castro
[J]. User Modeling and User-Adapted Interaction, 2009, 19 : 99 - 132
[10] EC-XAMAS: SUPPORTING E-COMMERCE ACTIVITIES BY AN XML-BASED ADAPTIVE MULTI-AGENT SYSTEM[J] . Pasquale De Meo,Domenico Rosaci,Giuseppe M.L. Sarne,Domenico Ursino,Giorgio Terracina. Applied Artificial Intelligence . 2007 (6)

← 1 2 →