SISTEM PEMBERI REKOMENDASI
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Buku Pegangan Kuliah
Pertemuan 01 - Pengantar Recommender System
Materi Pengantar Recommender System
Video Pengantar Recommender System
Pertemuan 02 - Macam Input Dalam RecSys & Pengantar Collaborative Filtering
Video 1 - Pengantar RecSys - Lanjutan
Slide Materi Macam Input dalam RecSys
Video2 - Macam Input dalam RS
Pengantar Collaborative Filtering - Intuitive Methods
Video3 - Pengantar Collaborative Filtering - Intuitive Methods
Tugas - Resume Materi
Pertemuan 03 - Pengantar User-Based Collaborative Filtering
Slide User-Based Collaborative Filtering
Video User-Based Collaborative Filtering Part-1
Video User-Based Collaborative Filtering Part-2
Tugas CLO3 : Implementasi User-Based CF
Pertemuan 4 Item-Based Collaborative Filtering
Slide Materi Item-Based Collaborative Filtering
Video Item-Based Collaborative Filtering - Part 1
Tugas CLO1 : user-based collaborative filtering
Pertemuan 05 - Matrix Factorization
Souce Code Matrix Factorization
Slide Matrix factorization
Video Matrix Factorization
Pertemuan 6 - Content-Based Recommender System
Video Content - Based filtering - Part 1
Slide Content-Based Filtering
Pertemuan 07
Kuis CLO 1
Pertemuan 08 - Evaluasi pada Recommender System
Video pembahasan Kuis CLO1
Slide Evaluasi Performansi pada Recommender System
Video Evaluasi Performansi pada RecSys
Tugas Kelompok (CLO 2)
Pertemuan 09 - Evaluasi Performansi pada Recommender System - Part 2
Slide Evaluasi Performansi pada Recommender System - Part 2
Video Evaluasi Performansi pada RecSys Part 2
Pertemuan 10 - Knowledge Based Recommender System
Video Knowledge Based Recommender System Part 1
Slide Kuliah Knowledge Based Recommender System
Tugas CLO2
Tugas Besar (CLO3)
Tugas Besar (CLO3)
Pertemuan 13 - Diseminasi Hasil Penelitian - Conversational Recommender System
Video Diseminasi Hasil Penelitian
Slide ATW
01 Recommender Systems an Introduction
02 Recommender Systems Inputs and Methods
03 Recommender Systems Evaluation
04 Collaboraitve Filtering I - Intuitive Methods
05 Collaborative Filtering II - Matrix Factorization
06 Collaborative Filtering III - More on Matrix Factorization
08 Content Based Filtering - TDFIDF
09 Knowledge Based RS
11 Hybrid Recommender Systems
12 Explaining Recommendations
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Bahasa Indonesia (id)
English (en)
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CII4H3-30220
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Info Kursus
Depan
Kursus
FAKULTAS INFORMATIKA (FIF)
PRODI S1 INFORMATIKA (FIF)
CII4H3-30220
Penjelasan
SISTEM PEMBERI REKOMENDASI
Pengajar:
ERWIN BUDI SETIAWAN
Pengajar:
Admin CELOE
Pengajar:
PUTU HARRY GUNAWAN
Pengajar:
ANISA HERDIANI
Pengajar:
Z. K. ABDURAHMAN BAIZAL
Pengajar:
AGUNG TOTO WIBOWO