NDLI: A Social Network-based serendipity recommender system

Content Provider	IEEE Xplore Digital Library
Author	Yu-Shian Chiu Kuei-Hong Lin Jia-Sin Chen
Copyright Year	2011
Description	Author affiliation: Information and Communications Research Laboratories, Industrial Technology Research Institute of Taiwan, R.O.C., Hsinchu, Taiwan (Yu-Shian Chiu; Kuei-Hong Lin; Jia-Sin Chen)
Abstract	The appearing of the internet brings a large amount of information, this makes searching and filtering difficult. Therefore, a kind of special data mining technique appeared, it called Recommender System. Most research of recommender system always provides the most relevant items for users or items. However, recommendations from traditional recommender system may not satisfy the new human beings because users may already know these relevant items from other information sources. We believe that there are still some unsearched but less relevant items useful for users. On the other hand, because social network has grown very quickly, we think that there are some very useful interactive information that recommender systems can use to provide recommendations. Therefore, we propose a Social Network-based Serendipity (SNS) recommender system that uses interactive information from the social network to find out which items are interesting for users but hard to discover by themselves.
Starting Page	1
Ending Page	5
File Size	849134
Page Count	5
File Format	PDF
ISBN	9781457721656
e-ISBN	9781457721663
DOI	10.1109/ISPACS.2011.6146073
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-07
Publisher Place	Thailand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	social network recommender system serendipity
Content Type	Text
Resource Type	Article

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