Exploring Movie Recommendation System Using Cultural Metadata

被引：6

作者：

Ahn, Shinhyun ^{[1
]}

Shi, Chung-Kon ^{[2
]}

机构：

[1] Korea Adv Inst Sci & Technol, Grad Sch Culture Technol, Seoul, South Korea

[2] Korea Adv Inst Sci & Technol, Sch Humanities & Social Sci, Taejon, South Korea

来源：

PROCEEDINGS OF THE 2008 INTERNATIONAL CONFERENCE ON CYBERWORLDS | 2008年

关键词：

D O I：

10.1109/CW.2008.13

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

With the advent of the World Wide Web, it has captured and accumulated 'Word-of-Mouth (WoM)' such as reviews, comments, user ratings, and etc., about cultural contents including movies. We paid attention to WoM's role as cultural metadata. 'Recommendation systems' are services which recommend users new items such as news articles, books, music, and movies they would like. We developed a simple and low-cost movie recommendation system harnessing vast cultural metadata, about movies, existing on the Web. Then we evaluated the system, and analyzed its strength. As a result, we could be aware of the potential of cultural metadata.

引用

页码：431 / +

页数：3

共 50 条

[1] Exploring Movie Recommendation System Using Cultural Metadata
Ahn, Shinhyun
Shi, Chung-Kon
[J]. TRANSACTIONS ON EDUTAINMENT II, 2009, 5660 : 119 - +
[2] Enhancing music recommendation algorithms using cultural metadata
Baumann, S
Hummel, O
[J]. JOURNAL OF NEW MUSIC RESEARCH, 2005, 34 (02) : 161 - 172
[3] Movie Recommendation using Metadata based Word2Vec Algorithm
Yoon, Yeo Chan
Lee, Jun Woo
[J]. 2018 INTERNATIONAL CONFERENCE ON PLATFORM TECHNOLOGY AND SERVICE (PLATCON18), 2018, : 33 - 37
[4] Movie Recommendation System Using Collaborative Filtering
Wu, Ching-Seh
Garg, Deepti
Bhandary, Unnathi
[J]. PROCEEDINGS OF 2018 IEEE 9TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND SERVICE SCIENCE (ICSESS), 2018, : 11 - 15
[5] The Semantics of Movie Metadata: Enhancing User Profiling for Hybrid Recommendation
Soares, Marcio
Viana, Paula
[J]. RECENT ADVANCES IN INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 1, 2017, 569 : 328 - 338
[6] Movie Recommendation System Based on Movie Swarm
Halder, Sajal
Sarkar, A. M. Jehad
Lee, Young-Koo
[J]. SECOND INTERNATIONAL CONFERENCE ON CLOUD AND GREEN COMPUTING / SECOND INTERNATIONAL CONFERENCE ON SOCIAL COMPUTING AND ITS APPLICATIONS (CGC/SCA 2012), 2012, : 804 - 809
[7] Personalized Movie Recommendation System Using Twitter Data
Das, Debashis
Chidananda, Himadri Tanaya
Sahoo, Laxman
[J]. PROGRESS IN COMPUTING, ANALYTICS AND NETWORKING, ICCAN 2017, 2018, 710 : 339 - 347
[8] Movie Recommendation System using Particle Swarm Optimization
Banerjee, Hriday
Dey, Ratul
Chatterjee, Sukanya
Chakraborty, Avijit
Pareek, Shilpa
Nayak, Somen
Gautam, Ashutosh
Saha, Himadri Nath
[J]. 2017 8TH ANNUAL INDUSTRIAL AUTOMATION AND ELECTROMECHANICAL ENGINEERING CONFERENCE (IEMECON), 2017, : 121 - 126
[9] Multimodal Movie Recommendation System Using Deep Learning
Mu, Yongheng
Wu, Yun
[J]. MATHEMATICS, 2023, 11 (04)
[10] Tuning metadata for better movie content-based recommendation systems
Soares, Marcio
Viana, Paula
[J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2015, 74 (17) : 7015 - 7036

← 1 2 3 4 5 →