With the dawning ubiquitous computing age, increasing online-based multimedia data presents new challenges for storing and querying large amounts of data to online recommendation systems. Recent studies on recommendation systems show that graph data model is more efficient than relational data model for processing complex data. This paper proposes a new graph data storage model for the collaborative filtering-based recommendation system. Our proposed storage model efficiently filters out vertices which could not impact on calculating top-k recommended items in collaborative filtering algorithm. We present our structure, mechanisms and experimental results for improving the performance of recommender systems. For showing that proposed mechanisms are applicable in multimedia applications, we use real data set of the online site, MovieLense in the experiment. The result of the experiment shows that proposed approach is efficient storage model for recommendation system.
목차
Abstract 1. Introduction 2. Related Works and Backgrounds 3. Graph Data Storage Model for CF-based Recommendation 4. Experiments 5. Conclusions Acknowledgements References
키워드
Graph databasegraph data storage modelcollaborative filteringmultimedia recommendation system
저자
Haesung Lee [ Department of Computer Science, Kyonggi University San 94-6, Yiui-dong, Suwon-si, Gyeonggi-do, Korea ]
Joonhee Kwon [ Department of Computer Science, Kyonggi University San 94-6, Yiui-dong, Suwon-si, Gyeonggi-do, Korea ]
보안공학연구지원센터(IJMUE) [Science & Engineering Research Support Center, Republic of Korea(IJMUE)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Multimedia and Ubiquitous Engineering
간기
월간
pISSN
1975-0080
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Multimedia and Ubiquitous Engineering Vol.8 No4