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» Relevance Feedback Models for Recommendation
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AH
2006
Springer
14 years 13 days ago
eDAADe: An Adaptive Recommendation System for Comparison and Analysis of Architectural Precedents
We built a Web-based adaptive recommendation system for students to select and suggest architectural cases when they analyze "Case Study" work within the architectural de...
Shu-Feng Pan, Ji-Hyun Lee
KDD
2006
ACM
134views Data Mining» more  KDD 2006»
14 years 9 months ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
ICMCS
2009
IEEE
185views Multimedia» more  ICMCS 2009»
13 years 6 months ago
Connecting content to community in social media via image content, user tags and user communication
In this paper we develop a recommendation framework to connect image content with communities in online social media. The problem is important because users are looking for useful...
Munmun De Choudhury, Hari Sundaram, Yu-Ru Lin, Aji...
CIKM
2009
Springer
13 years 6 months ago
A tag recommendation system for folksonomy
Social bookmarking tools become more and more popular nowadays and tagging is used to organize information and allow users to recall or search the resources. Users need to type th...
Ning Zhang, Yuan Zhang, Jie Tang
CONTEXT
2007
Springer
14 years 2 months ago
Discovering Hidden Contextual Factors for Implicit Feedback
Abstract. This paper presents a statistical framework based on Principal Component Analysis (PCA) for discovering the contextual factors which most strongly influence user behavio...
Massimo Melucci, Ryen W. White