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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
TEI
2009
ACM
107views Hardware» more  TEI 2009»
15 years 4 months ago
Tactful interaction: exploring interactive social touch through a collaborative tangible installation
How do tangible systems take advantage of our sociophysical embodiment in the world? How can we use tangible interaction to better understand collaboration and intersubjectivity? ...
Bruno Nadeau, Amanda Williams
AINA
2009
IEEE
15 years 2 months ago
Do Metrics Make Recommender Algorithms?
Recommender systems are used to suggest customized products to users. Most recommender algorithms create collaborative models by taking advantage of web user profiles. In the las...
Elica Campochiaro, Riccardo Casatta, Paolo Cremone...
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...
DEBU
2008
186views more  DEBU 2008»
14 years 9 months ago
A Survey of Collaborative Recommendation and the Robustness of Model-Based Algorithms
The open nature of collaborative recommender systems allows attackers who inject biased profile data to have a significant impact on the recommendations produced. Standard memory-...
Jeff J. Sandvig, Bamshad Mobasher, Robin D. Burke