Movie Recommendation using Metadata based Word2Vec Algorithm

被引：0

作者：

Yoon, Yeo Chan ^{[1
]}

Lee, Jun Woo ^{[1
]}

机构：

[1] Elect & Telecommun Res Inst, SW Content Res Lab, Daejeon, South Korea

来源：

2018 INTERNATIONAL CONFERENCE ON PLATFORM TECHNOLOGY AND SERVICE (PLATCON18) | 2018年

关键词：

recommendation of item; deep neural network; movie recommendation;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Nowadays, recommending preferable item among huge number of item is essential on online market. Many content platforms, such as YouTube and Amazon, use recommendation techniques to recommend items. Therefore, various techniques have been studied to recommend desirable item for each users. In this paper, we propose a method for effectively recommending preferable movies for each users by using community user's movie rating information and movie metadata information with deep learning technology. The proposed method shows 0.165 performance improvement based on Rcall@100 as compared with the basline method.

引用

页码：33 / 37

页数：5

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