Personalized recommendation by using fused user preference to construct smart library

被引：10
作者：
Zhao, Limei [1 ]
机构：
[1] Jilin Engn Normal Univ, 3050 Kaixuan Rd, Changchun, Jilin, Peoples R China
来源：
INTERNET TECHNOLOGY LETTERS | 2021年 / 4卷 / 03期
关键词：
digital library; Latent Dirichlet Allocation (LDA); smart library; user preference;
D O I：
10.1002/itl2.273
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
In online digital library, it makes people be convenient to visit latest books or magazines via digitization. Online digital library becomes the platform for people to search and browse latest books or magazines. From digital library to smart library, the key is how to recommend interesting items from personalized preference according to visiting history records, comments, and discussions. This paper introduces user preference into digital library recommendation system. Generally, if two users have similar preference, they also like the books or magazines from the same or related topics. First, the topics is estimated by a Latent Dirichlet Allocation (LDA) model; second, the topics with high user preference score is recommended to the user. Thus, the user can receive the item list which are close to the topics which he or she is interested in. The experimental results on a university digital library show the effectiveness of the user preference based recommendation system for smart library.
引用
收藏
页数：6
相关论文
共 50 条
  • [21] Context-Aware Web Services Recommendation based on User Preference
    Fan, Xiaoliang
    Hu, Yakun
    Zhang, Ruisheng
    Fan, Xiaoliang
    2014 ASIA-PACIFIC SERVICES COMPUTING CONFERENCE (APSCC), 2014, : 55 - 61
  • [22] A multi-objective framework for location recommendation based on user preference
    Wang, Shanfeng
    Gong, Maoguo
    Qin, Can
    Yang, Junwei
    2017 13TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS), 2017, : 39 - 43
  • [23] Multi-view User Preference Learning with Knowledge Graph for Recommendation
    Zhang, Yiming
    Pang, Yitong
    Wei, Zhihuai
    2022 IEEE 2ND INTERNATIONAL CONFERENCE ON INFORMATION COMMUNICATION AND SOFTWARE ENGINEERING (ICICSE 2022), 2022, : 66 - 72
  • [24] A user-transaction-based recommendation strategy for an educational digital library
    Gerd Kortemeyer
    Stefan Dröschler
    International Journal on Digital Libraries, 2021, 22 : 147 - 157
  • [25] A user-transaction-based recommendation strategy for an educational digital library
    Kortemeyer, Gerd
    Droschler, Stefan
    INTERNATIONAL JOURNAL ON DIGITAL LIBRARIES, 2021, 22 (02) : 147 - 157
  • [26] The Building of User Interest Model in Digital Library Personalized Information Service
    Bao CuiMei
    2010 SECOND ETP/IITA WORLD CONGRESS IN APPLIED COMPUTING, COMPUTER SCIENCE, AND COMPUTER ENGINEERING, 2010, : 434 - 437
  • [27] Personalized Long- and Short-term Preference Learning for Next POI Recommendation
    Wu, Yuxia
    Li, Ke
    Zhao, Guoshuai
    Qian, Xueming
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2022, 34 (04) : 1944 - 1957
  • [28] Learning User Preference from Heterogeneous Information for Store-Type Recommendation
    Chen, Yuanyi
    Zhang, Jingyu
    Guo, Minyi
    Cao, Jiannong
    IEEE TRANSACTIONS ON SERVICES COMPUTING, 2020, 13 (06) : 1100 - 1114
  • [29] Preference-based user rating correction process for interactive recommendation systems
    Hau Xuan Pham
    Jung, Jason J.
    MULTIMEDIA TOOLS AND APPLICATIONS, 2013, 65 (01) : 119 - 132
  • [30] Preference-based user rating correction process for interactive recommendation systems
    Hau Xuan Pham
    Jason J. Jung
    Multimedia Tools and Applications, 2013, 65 : 119 - 132
12345