User-Created Content Recommendation Using Tag Information and Content MetadataUser-Created Content Recommendation Using Tag Information and Content Metadata
- Other Titles
- User-Created Content Recommendation Using Tag Information and Content Metadata
- Authors
- 이병운; 김종우; 이홍주
- Issue Date
- Sep-2010
- Publisher
- 한국경영과학회
- Keywords
- Contents Recommendation; Collaborative Filtering; User Created Contents; Metadata
- Citation
- MSFE, v.16, no.2, pp.29 - 38
- Indexed
- KCI
- Journal Title
- MSFE
- Volume
- 16
- Number
- 2
- Start Page
- 29
- End Page
- 38
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/172716
- ISSN
- 2287-2043
- Abstract
- As the Internet is more embedded in people’s lives, Internet users draw on new Internet applications to express themselves through “user-created content (UCC).” In addition, there is a noticeable shift from text-centered contents mainly posted on bulletin boards to multimedia contents such as images and videos on UCC web sites. The changes require different way of recommendations comparing to traditional products or contents recommendation on the Internet. This paper aims to design UCC recommendation methods with user behavior data and contents metadata such as tags and titles, and compare performances of the suggested methods. Real web logs data of a major Korean video UCC site was used to empirical experiments. The results of the experiments show that collaborative filtering technique based on similarity of UCC customers’ preferences performs better than other content-based recommendation methods based on tag information and content metadata.
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Collections - 서울 경영대학 > 서울 경영학부 > 1. Journal Articles
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