Scalable collaborative filtering based on efficient identification of similar users
- Authors
- Lee, Sang-Chul; Lee, Si-Yong; Chae, Dong-Kyu; Kim, Sang-Wook
- Issue Date
- Jul-2017
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- Collaborative filtering; Efficiency; Multidimensional indexing
- Citation
- Proceedings of 2016 5th International Conference on Network Infrastructure and Digital Content, IEEE IC-NIDC 2016, pp.210 - 213
- Indexed
- SCIE
SCOPUS
- Journal Title
- Proceedings of 2016 5th International Conference on Network Infrastructure and Digital Content, IEEE IC-NIDC 2016
- Start Page
- 210
- End Page
- 213
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/151991
- DOI
- 10.1109/ICNIDC.2016.7974566
- ISSN
- 0000-0000
- Abstract
- User-based collaborative filtering suffers from significant amount of computational overhead to find users similar to a target user. To reduce the overhead, we propose a novel method to identify unnecessary users and items in computing the similarity. Also, we propose a data structure to support the method quite efficiently. Through extensive experiments, we show the proposed method outperforms traditional methods up to 33.8 times.
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