• SISTEM PEMBERI REKOMENDASI
    0%
  • Previous
  • Course data
    General
    Tentang Matakuliah
    Link Kuliah di MS Team
    RPS matakuliah
    Buku Pegangan Kuliah
    Topik 01 - Pengantar Recommender System
    Materi Pengantar Recommender System
    Video Pengantar Recommender System
    Pengantar Recomender System (2)
    Topik 02 - Macam Input Dalam RecSys & Pengantar Collaborative Filtering
    Slide Materi Macam Input dalam RecSys
    Video1 - Macam Input dalam RS
    Pengantar Collaborative Filtering - Intuitive Methods
    Slide User-Based Collaborative Filtering
    Slide Materi Item-Based Collaborative Filtering
    Slide Matrix factorization
    Souce Code Matrix Factorization
    Tugas CLO1 - 1 - Explorasi RecSys
    TUGAS CLO 2-1
    Topik 3 - Content-Based Recommender System
    Video Rekaman HARI INI - Content-Based Filtering
    Video Content SEMESTER LALU - Based filtering - Part 1
    Slide Content-Based Filtering
    Materi Content Based recommender System
    Tugas CLO 2
    Topik 4 - Evaluasi pada Recommender System
    Slide Evaluasi Performansi pada RecSys Part 1
    Slide Evaluasi Performansi pada RecSys Part 2
    Video Evaluasi Performansi pada RecSys Part 1
    Video Evaluasi Performansi pada RecSys Part 2
    Topik 5 - Knowledge Based Recommender System
    Video Knowledge Based Recommender System Part 1
    Slide Kuliah Knowledge Based Recommender System
    Tugas CLO3-1
    Topik 6 - Group Recommender System
    Slide Group Recommender System
    Materi Penunjang 1 Group Recommender System
    Materi Penunjang 2 Group Recommender System
    Video Group Recomender System Part 1
    Video Group Recomender System Part 2
    Topik 7 - Hybrid Recommender System
    Slide - Hybrid Recommender System
    Tugas Besar (CLO3)
    Pertemuan 13 - Diseminasi Hasil Penelitian - Conversational Recommender System
    Slide ATW
  • Next
  • English ‎(en)‎
    Bahasa Indonesia ‎(id)‎ English ‎(en)‎
    • Log in
    CPI4H3-30152
    Home
    Skip to main content

    Course info

    1. Home
    2. Courses
    3. FAKULTAS INFORMATIKA (FIF)
    4. S1 Informatika PJJ
    5. CPI4H3-30152
    6. Summary

    SISTEM PEMBERI REKOMENDASI

    • Teacher: Z. K. ABDURAHMAN BAIZAL
    • Teacher: DONNI RICHASDY

    CELOE

    Center of e-Learning and Open Education


    Address

    Gedung Panehan Pasca Sarjana Lantai 1,
    Jl. Telekomunikasi Terusan Buah Batu, 
    Bandung - 40257, Indonesia

      E-Mail: clove@telkomuniversity.ac.id
     Whatsapp Khusus Dosen: +62 821-1666-3563


    Related Links

    Open Library Telkom University  Career, Alumni & Endowment Telkom University

    Follow Us

    • English ‎(en)‎
      • Bahasa Indonesia ‎(id)‎
      • English ‎(en)‎
    You are not logged in. (Log in)