An implementation of a knowledge recommendation system based on similarity among users' profiles

被引:0
作者
Nakagawa, A [1 ]
Ito, T [1 ]
机构
[1] Japan Adv Inst Sci & Technol, Ctr Knowledge Sci, Tatsunokuchi, Ishikawa 9231292, Japan
来源
SICE 2002: PROCEEDINGS OF THE 41ST SICE ANNUAL CONFERENCE, VOLS 1-5 | 2002年
关键词
collaborative filtering; recommendation system and user's profile;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we propose a recommendation system which can share other individuals' knowledge and know-how for research activity. The system can recommend interesting document files to users by collaborative filtering. In the system, we employ local similarity between users and global similarity between groups. Using this system, users can find out necessary knowledge and reuse knowledge effectively.
引用
收藏
页码:326 / 327
页数:2
相关论文
共 50 条
  • [41] SBMF: Similarity-Based Matrix Factorization for Collaborative Recommendation
    Wang, Xin
    Xu, Congfu
    2014 IEEE 26TH INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI), 2014, : 379 - 383
  • [42] Fuzzy logic based similarity measure for multimedia contents recommendation
    Surya Kant
    Tripti Mahara
    Vinay Kumar Jain
    Deepak Kumar Jain
    Multimedia Tools and Applications, 2019, 78 : 4107 - 4130
  • [43] Mobile Service Recommendation Based on Context Similarity and Social Network
    Yu C.-H.
    Liu X.-J.
    Li B.
    Zhang W.
    2017, Chinese Institute of Electronics (45): : 1530 - 1536
  • [44] Collaboration-based medical knowledge recommendation
    Huang, Zhengxing
    Lu, Xudong
    Duan, Huilong
    Zhao, Chenhui
    ARTIFICIAL INTELLIGENCE IN MEDICINE, 2012, 55 (01) : 13 - 24
  • [45] A Novel Group Recommendation Based on Knowledge Flows
    Lai, Chin-Hui
    2014 IEEE 16th Conference on Business Informatics (CBI), Vol 1, 2014, : 25 - 32
  • [46] Graph-based Recommendation Meets Bayes and Similarity Measures
    Lopes, Ramon
    Assuncao, Renato
    Santos, Rodrygo L. T.
    ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2020, 11 (01)
  • [47] The use of belief function theory in recommendation based on a similarity diffusion
    Beranek, Ladislav
    Remes, Radim
    37TH INTERNATIONAL CONFERENCE ON MATHEMATICAL METHODS IN ECONOMICS 2019, 2019, : 356 - 361
  • [48] Collaborative Filtering Recommendation Algorithm based on Item Similarity Learning
    Liu, Feng
    Li, Huan
    Ma, Zhu-juan
    Zhu, Er-zhou
    CURRENT TRENDS IN COMPUTER SCIENCE AND MECHANICAL AUTOMATION, VOL 1, 2017, : 322 - 335
  • [49] Collaborative Filtering Recommendation Algorithm Based on Improved Similarity Computing
    Liu, Aili
    Li, Baoan
    PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON MECHATRONICS, MATERIALS, CHEMISTRY AND COMPUTER ENGINEERING 2015 (ICMMCCE 2015), 2015, 39 : 1375 - 1379
  • [50] A hybrid recommendation algorithm based on heuristic similarity and trust measure
    Yang, Chao
    Chen, Xinghe
    Song, Tingting
    Jiang, Bin
    Liu, Qing
    2018 17TH IEEE INTERNATIONAL CONFERENCE ON TRUST, SECURITY AND PRIVACY IN COMPUTING AND COMMUNICATIONS (IEEE TRUSTCOM) / 12TH IEEE INTERNATIONAL CONFERENCE ON BIG DATA SCIENCE AND ENGINEERING (IEEE BIGDATASE), 2018, : 1413 - 1418