Collaborative IPTV Content Recommendation Method Using an Implicit Attribute Preference

被引:0
|
作者
Kwon, Hyeong-Joon [1 ]
Hong, Kwang-Seok [1 ]
机构
[1] Sungkyunkwan Univ, Sch Informat & Commun Engn, Seoul, South Korea
关键词
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper proposes a method using an implicit item attribute rating for a user. The method improves preference rating prediction accuracy of collaborative filtering-based IPTV content recommender systems by ameliorating the data sparsity problem. We confirmed that the method is robust in regards to the data sparsity problem found in collaborative filtering through various experiments.
引用
收藏
页码:570 / 571
页数:2
相关论文
共 50 条
  • [41] Diversified recommendation using implicit content node embedding in heterogeneous information network
    Yadav, Naina
    Pal, Sukomal
    Singh, Anil Kumar
    MULTIMEDIA TOOLS AND APPLICATIONS, 2024, 83 (07) : 20605 - 20635
  • [42] Diversified recommendation using implicit content node embedding in heterogeneous information network
    Naina Yadav
    Sukomal Pal
    Anil Kumar Singh
    Multimedia Tools and Applications, 2024, 83 : 20605 - 20635
  • [43] Hybrid recommendation method IN sparse datasets: Combining content analysis and collaborative filtering
    School of Management, Harbin Institute of Technology, Harbin, China
    Int. J. Digit. Content Technol. Appl., 10 (52-60):
  • [44] ATTRIBUTE CLUSTERING BASED COLLABORATIVE FILTERING IN PATIENT PRESCRIPTION RECOMMENDATION
    Zhang, L. M.
    Liu, T. S.
    Pan, S. W.
    Yang, H. Z.
    BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2016, 118 : 76 - 76
  • [45] Personalized recommendation of learning material using sequential pattern mining and attribute based collaborative filtering
    Salehi M.
    Nakhai Kamalabadi I.
    Ghaznavi Ghoushchi M.B.
    Education and Information Technologies, 2014, 19 (4) : 713 - 735
  • [46] On Top-N Recommendation Using Implicit User Preference Propagation over Social Networks
    Zou, Jun
    Fekri, Faramarz
    2014 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2014, : 3919 - 3924
  • [47] CONTENT-BASED MUSIC RECOMMENDATION USING UNDERLYING MUSIC PREFERENCE STRUCTURE
    Soleymani, Mohammad
    Aljanaki, Anna
    Wiering, Frans
    Veltkamp, Remco C.
    2015 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA & EXPO (ICME), 2015,
  • [48] A Heuristic Method for Collaborative Recommendation Using Hierarchical User Profiles
    Maleszka, Marcin
    Mianowska, Bernadetta
    Ngoc-Thanh Nguyen
    COMPUTATIONAL COLLECTIVE INTELLIGENCE - TECHNOLOGIES AND APPLICATIONS, PT I, 2012, 7653 : 11 - 20
  • [49] Making Alice Appear Like Bob: A Probabilistic Preference Obfuscation Method For Implicit Feedback Recommendation Models
    Escobedo, Gustavo
    Moscati, Marta
    Muellner, Peter
    Kopeinik, Simone
    Kowald, Dominik
    Lex, Elisabeth
    Schedl, Markus
    MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES: RESEARCH TRACK, PT VII, ECML PKDD 2024, 2024, 14947 : 349 - 365
  • [50] A collaborative filtering recommendation model combining explicit and implicit feedback
    Ou C.-R.
    Hu J.
    Kongzhi yu Juece/Control and Decision, 2024, 39 (03): : 1048 - 1056