Book Recommendation System for Digital Library Based on User Profiles by Using Association Rule

被引：0
|
作者：
Jomsri, Pijitra [1 ]
机构：
[1] Suan Sunandha Rajabhat Univ, Dept Informat Technol, Bangkok, Thailand
来源：
2014 FOURTH INTERNATIONAL CONFERENCE ON INNOVATIVE COMPUTING TECHNOLOGY (INTECH) | 2014年
关键词：
Recommendation System; data mining; association rule;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Due to wide application of management system, information data grows rapidly. On one hand, people have a large number of information resources. On the other hand, the time cost and difficulty of people finding the proper information increases. To tackle the problems, book recommendation is one of the solutions for university libraries which possess huge volumes of books and reading-intensive users. This paper proposes a library book recommendation system based on user profile loaning and apply association rule to create model. The result shows that new association rule algorithm suitable to apply for recommender book in library.
引用
收藏
页码：130 / 134
页数：5
相关论文
共 50 条
  • [31] Location-based recommendation services in library book stacks
    Hahn, Jim
    REFERENCE SERVICES REVIEW, 2011, 39 (04) : 654 - +
  • [32] Book Recommendation Based on Library Loan Records and Bibliographic Information
    Tsuji, Keita
    Takizawa, Nobuya
    Sato, Sho
    Ikeuchi, Ui
    Ikeuchi, Atsushi
    Yoshikane, Fuyuki
    Itsumura, Hiroshi
    3RD INTERNATIONAL CONFERENCE ON INTEGRATED INFORMATION (IC-ININFO), 2014, 147 : 478 - 486
  • [33] Building personalized recommendation system in e-commerce using association rule-based mining and classification
    Zhang, Xi-Zheng
    PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2007, : 4113 - 4118
  • [34] Building personalized recommendation system in E-Commerce using association rule-based mining and classification
    Xizheng, Zhang
    SNPD 2007: Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, Vol 3, Proceedings, 2007, : 853 - 857
  • [35] The digital library and the home-based user
    Sloane, A
    DIGITAL LIBRARIES: CURRENT ISSUES, 1995, 916 : 203 - 208
  • [36] User Behaviour Classification using Fuzzy Rule Based System
    Atta-ur-Rahman
    Zaidi, Dur-e-Najaf
    Salam, Muhammad Hamad
    Jamil, Shahid
    2013 13TH INTERNATIONAL CONFERENCE ON HYBRID INTELLIGENT SYSTEMS (HIS), 2013, : 117 - 122
  • [37] Music Recommendation Based on Information of User Profiles, Music Genres and User Ratings
    Su, Ja-Hwung
    Chin, Chu-Yu
    Yang, Hsiao-Chuan
    Tseng, Vincent S.
    Hsieh, Sun-Yuan
    INTELLIGENT INFORMATION AND DATABASE SYSTEMS, ACIIDS 2018, PT I, 2018, 10751 : 528 - 538
  • [38] Research on Book Recommendation System for People with Visual Impairment Based on Fusion of Preference and User Attention
    Yu, Zhi
    Bu, Jiajun
    Li, Sijie
    Wang, Wei
    Tang, Lizhen
    Zhao, Chuanwu
    COMPUTERS HELPING PEOPLE WITH SPECIAL NEEDS, ICCHP 2020, PT I, 2020, 12376 : 83 - 90
  • [39] Towards a user based recommendation strategy for digital ecosystems
    Moscato, Vincenzo
    Picariello, Antonio
    Rinaldi, Antonio M.
    KNOWLEDGE-BASED SYSTEMS, 2013, 37 : 165 - 175
  • [40] Application of Content-Based Approach in Research Paper Recommendation System for a Digital Library
    Philip, Simon
    Shola, P. B.
    John, Abari Ovye
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2014, 5 (10) : 37 - 40
12345