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» Combining predictions for accurate recommender systems
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AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
15 years 3 months ago
Preference Networks: Probabilistic Models for Recommendation Systems
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh
CIKM
2009
Springer
15 years 4 months ago
A mobile tourist assistance and recommendation system based on complex networks
In recent years, the tourism assistance community is gradually shifting its emphasis to digital, interactive systems. Our project aims for digital tourism assistance by combining ...
Alf-Christian Schering, Martin Dueffer, Andreas Fi...
89
Voted
BMCBI
2010
179views more  BMCBI 2010»
14 years 9 months ago
A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties
Background: Genetic interaction profiles are highly informative and helpful for understanding the functional linkages between genes, and therefore have been extensively exploited ...
Zhuhong You, Zheng Yin, Kyungsook Han, De-Shuang H...
GFKL
2007
Springer
180views Data Mining» more  GFKL 2007»
15 years 3 months ago
Content-based Dimensionality Reduction for Recommender Systems
Recommender Systems are gaining widespread acceptance in e-commerce applications to confront the information overload problem. Collaborative Filtering (CF) is a successful recommen...
Panagiotis Symeonidis
75
Voted
NAACL
2007
14 years 11 months ago
Combining Lexical and Grammatical Features to Improve Readability Measures for First and Second Language Texts
This work evaluates a system that uses interpolated predictions of reading difficulty that are based on both vocabulary and grammatical features. The combined approach is compared...
Michael Heilman, Kevyn Collins-Thompson, Jamie Cal...