Recommendation e-Commerce

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Recommendation e-Commerce by Mind Map: Recommendation e-Commerce

1. Research Problem

1.1. Menentukan rekomendasi terakurat pada E- Commerce dengan beberapa metode

2. Metode K-Nearest Neighbor

2.1. Collaborative Filtering

2.2. Content based

2.3. Hybrid

3. Journal Publication

3.1. E-JOURNAL UNDIKHSA , 2016

3.2. JURNAL INFORMATIKA , 2016

3.3. Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining , 2014

3.4. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. X, NO. X, XXX 2016

3.5. Recommender systems handbook, 2015

3.6. Proceedings of the Ninth International AAAI Conference on Web and Social Media , semantic scholsr , 2015

3.7. IEEE International Conference on Computational Intelligence & Communication Technology , 20`5

3.8. International conference on advance computing technologies and applications ( ICATCA ), 2015

3.9. Decision Support Systems, 2015

4. Research Topic

4.1. Pengumpulan data yang akan dibandingkan

4.2. Kinerja dari metode pembanding

4.3. Keakuratan metode pembanding

5. Dataset Recommendation e-commerce

5.1. Metadata produk E-commerce Amazon ( 2005 )

5.1.1. Judul

5.1.2. Salesrank

5.1.3. Kategori

5.1.4. Group

5.1.5. Review Produk

5.1.5.1. Waktu

5.1.5.2. Rating

5.1.5.3. Pembeli