Dynamic convolutional neural network for eliminating item sparse data on recommender system
Several efforts have been conducted to handle sparse product rating in e-commerce recommender system. One of them is the inclusion of texts such as product review, abstract, product description, and synopsis. Later, it converted to become rating value. Previous researches have tried to extract these...
Saved in:
Main Authors: | Hanafi, Hanafi (Author), Suryana, Nanna (Author), Basari, Abdul Samad Hasan (Author) |
---|---|
Format: | EJournal Article |
Published: |
Universitas Ahmad Dahlan,
2018-11-28.
|
Subjects: | |
Online Access: | Get Fulltext |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Image mixed gaussian and impulse noise elimination based on sparse representation model
by: Hussein, Ahmed Abdulqader, et al.
Published: (2021) -
Sentiment Analysis of Movie Opinion in Twitter Using Dynamic Convolutional Neural Network Algorithm
by: Ratnawati, Fajar, et al.
Published: (2018) -
Deep image mining for convolution neural network
by: A. Jasm, Dhamea, et al.
Published: (2020) -
Indonesian news classification using convolutional neural network
by: Ali Ramdhani, Muhammad, et al.
Published: (2020) -
Convolutional Neural Networks for Handwritten Javanese Character Recognition
by: Dewa, Chandra Kusuma, et al.
Published: (2018)