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TSMC
2008
109views more  TSMC 2008»
13 years 7 months ago
Providing Justifications in Recommender Systems
Abstract--Recommender systems are gaining widespread acceptance in e-commerce applications to confront the "information overload" problem. Providing justification to a re...
Panagiotis Symeonidis, Alexandros Nanopoulos, Yann...
WWW
2009
ACM
14 years 8 months ago
Learning to tag
Social tagging provides valuable and crucial information for large-scale web image retrieval. It is ontology-free and easy to obtain; however, irrelevant tags frequently appear, a...
Lei Wu, Linjun Yang, Nenghai Yu, Xian-Sheng Hua
CDVE
2007
Springer
115views Visualization» more  CDVE 2007»
13 years 12 months ago
A Document Recommendation System Based on Clustering P2P Networks
: This paper presents a document recommendation system based on clustering peer-to-peer networks. It's an unstructured P2P system. In this system each agent-peer can learn use...
Feng Guo, Shaozi Li
JCDL
2011
ACM
191views Education» more  JCDL 2011»
12 years 10 months ago
Serendipitous recommendation for scholarly papers considering relations among researchers
Serendipity occurs when one finds an interesting discovery while searching for something else. In digital libraries, recommendation engines are particularly well-suited for seren...
Kazunari Sugiyama, Min-Yen Kan
WSDM
2012
ACM
246views Data Mining» more  WSDM 2012»
12 years 3 months ago
Auralist: introducing serendipity into music recommendation
Recommendation systems exist to help users discover content in a large body of items. An ideal recommendation system should mimic the actions of a trusted friend or expert, produc...
Yuan Cao Zhang, Diarmuid Ó Séaghdha,...