JIPS (한국정보처리학회)
Current Result Document :
| 한글제목(Korean Title) |
Personalizing Information Using Users’ Online Social Networks: A Case Study of CiteULike |
| 영문제목(English Title) |
Personalizing Information Using Users’ Online Social Networks: A Case Study of CiteULike |
| 저자(Author) |
Danielle Lee
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| 원문수록처(Citation) |
VOL 11 NO. 01 PP. 0001 ~ 0021 (2015. 03) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
This paper aims to assess the feasibility of a new and less-focused type of online sociability (the watching network) as a useful information source for personalized recommendations. In this paper, we recommend scientific articles of interests by using the shared interests between target users and their watching connections. Our recommendations are based on one typical social bookmarking system, CiteULike. The watching network-based recommendations, which use a much smaller size of user data, produces suggestions that are as good as the conventional Collaborative Filtering technique. The results demonstrate that the watching network is a useful information source and a feasible foundation for information personalization. Furthermore, the watching network is substitutable for anonymous peers of the Collaborative Filtering recommendations. This study shows the expandability of social network-based recommendations to the new type of online social networks. |
| 키워드(Keyword) |
CiteULike
Homophily
Information Personalization
Online Social Networks
Social Network-based Recommendations
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| 파일첨부 |
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