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» Evaluating user preferences for adaptive reminding
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SIGIR
2009
ACM
15 years 3 months ago
Temporal collaborative filtering with adaptive neighbourhoods
Recommender Systems, based on collaborative filtering (CF), aim to accurately predict user tastes, by minimising the mean error achieved on hidden test sets of user ratings, afte...
Neal Lathia, Stephen Hailes, Licia Capra
DATAMINE
2002
155views more  DATAMINE 2002»
14 years 9 months ago
Efficient Adaptive-Support Association Rule Mining for Recommender Systems
Collaborative recommender systems allow personalization for e-commerce by exploiting similarities and dissimilarities among customers' preferences. We investigate the use of a...
Weiyang Lin, Sergio A. Alvarez, Carolina Ruiz
CN
2007
146views more  CN 2007»
14 years 9 months ago
Autonomic control and personalization of a wireless access network
As ICT services are becoming more ubiquitous and mobile and access technologies grow to be more heterogeneous and complex, we are witnessing the increasing importance of two relat...
Nicola Blefari-Melazzi, Dario Di Sorte, Mauro Femm...
IPM
2006
167views more  IPM 2006»
14 years 9 months ago
Browsing mixed structured and unstructured data
Both structured and unstructured data, as well as structured data representing several different types of tuples, may be integrated into a single list for browsing or retrieval. D...
Robert M. Losee
CHI
2009
ACM
15 years 10 months ago
Fly: a tool to author planar presentations
Modern presentation software is still built around interaction metaphors adapted from traditional slide projectors. We provide an analysis of the problems in this application genr...
Leonhard Lichtschlag, Thorsten Karrer, Jan O. Borc...