@article{ART002397798},
author={Kang, BooSik},
title={Improving Accuracy of Movie Recommender System Using Word2Vec and Deep Neural Networks},
journal={Journal of Knowledge Information Technology and Systems},
issn={1975-7700},
year={2018},
volume={13},
number={5},
pages={561-568},
doi={10.34163/jkits.2018.13.5.006}
TY - JOUR
AU - Kang, BooSik
TI - Improving Accuracy of Movie Recommender System Using Word2Vec and Deep Neural Networks
JO - Journal of Knowledge Information Technology and Systems
PY - 2018
VL - 13
IS - 5
PB - Korea Knowledge Information Technology Society
SP - 561
EP - 568
SN - 1975-7700
AB - Word2Vec is a most popular method in text mining area, recently. It converts words to vectors using association among words in sentences. Similar words are nearly located in the vector space. As deep learning technology has developed rapidly, deep neural network that adopts deep learning is being applied in many areas. Improving predictive accuracy of recommender algorithms is a major work in the area of recommender systems. This study proposed an integrated method for movie recommender systems using Word2Vec and deep neural networks. First, it constructs Corpus of users and movies. It generates sentences for constructing Corpus. It finds users that give same rating to a movie, generates a sentence with those users, and constructs the Corpus of users using the sentences. It finds movies that are given same rating from an user, generates a sentence with those movies, and constructs the Corpus of movies using the sentences along the same lines. Secondly, it calculates user vectors and movie vectors using Word2Vec. Thirdly, it learns a model of deep neural networks with inputs composed of the user vectors and the movie vectors. Lastly, it recommends movies to the target user through the learned deep neural networks. To validate, the proposed method was applied to filmtrust dataset. The experimental results of 10-fold cross validation showed that the proposed method improved accuracy greatly than conventional collaborative filtering method(uCF). Also, it showed that the proposed method could solve problems with comparatively high accuracy, recommendation problems to new customers and new products, but the conventional collaborative filtering methods had difficulties recommendation to those problems.
KW - Word2vec;Collaborative filtering;Recommender systems;Deep neural networks;Deep learning
DO - 10.34163/jkits.2018.13.5.006
ER -
Kang, BooSik. (2018). Improving Accuracy of Movie Recommender System Using Word2Vec and Deep Neural Networks. Journal of Knowledge Information Technology and Systems, 13(5), 561-568.
Kang, BooSik. 2018, "Improving Accuracy of Movie Recommender System Using Word2Vec and Deep Neural Networks", Journal of Knowledge Information Technology and Systems, vol.13, no.5 pp.561-568. Available from: doi:10.34163/jkits.2018.13.5.006
Kang, BooSik "Improving Accuracy of Movie Recommender System Using Word2Vec and Deep Neural Networks" Journal of Knowledge Information Technology and Systems 13.5 pp.561-568 (2018) : 561.
Kang, BooSik. Improving Accuracy of Movie Recommender System Using Word2Vec and Deep Neural Networks. 2018; 13(5), 561-568. Available from: doi:10.34163/jkits.2018.13.5.006
Kang, BooSik. "Improving Accuracy of Movie Recommender System Using Word2Vec and Deep Neural Networks" Journal of Knowledge Information Technology and Systems 13, no.5 (2018) : 561-568.doi: 10.34163/jkits.2018.13.5.006
Kang, BooSik. Improving Accuracy of Movie Recommender System Using Word2Vec and Deep Neural Networks. Journal of Knowledge Information Technology and Systems, 13(5), 561-568. doi: 10.34163/jkits.2018.13.5.006
Kang, BooSik. Improving Accuracy of Movie Recommender System Using Word2Vec and Deep Neural Networks. Journal of Knowledge Information Technology and Systems. 2018; 13(5) 561-568. doi: 10.34163/jkits.2018.13.5.006
Kang, BooSik. Improving Accuracy of Movie Recommender System Using Word2Vec and Deep Neural Networks. 2018; 13(5), 561-568. Available from: doi:10.34163/jkits.2018.13.5.006
Kang, BooSik. "Improving Accuracy of Movie Recommender System Using Word2Vec and Deep Neural Networks" Journal of Knowledge Information Technology and Systems 13, no.5 (2018) : 561-568.doi: 10.34163/jkits.2018.13.5.006