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CHI
2009
ACM
14 years 9 months ago
A personalized walk through the museum: the CHIP interactive tour guide
More and more museums aim at enhancing their visitors' museum experiences in a personalized, intensive and engaging way inside the museum. The CHIP1 (Cultural Heritage Inform...
Ivo Roes, Natalia Stash, Yiwen Wang, Lora Aroyo
KDD
2008
ACM
155views Data Mining» more  KDD 2008»
14 years 8 months ago
Factorization meets the neighborhood: a multifaceted collaborative filtering model
Recommender systems provide users with personalized suggestions for products or services. These systems often rely on Collaborating Filtering (CF), where past transactions are ana...
Yehuda Koren
LWA
2007
13 years 10 months ago
Know the Right People? Recommender Systems for Web 2.0
Web 2.0 applications like Flickr, YouTube, or Del.icio.us are increasingly popular online communities for creating, editing and sharing content. However, the rapid increase in siz...
Stefan Siersdorfer, Sergej Sizov, Paul Clough
CHI
2010
ACM
14 years 3 months ago
A stage-based model of personal informatics systems
People strive to obtain self-knowledge. A class of systems called personal informatics is appearing that help people collect and reflect on personal information. However, there is...
Ian Li, Anind K. Dey, Jodi Forlizzi
AIRS
2009
Springer
14 years 3 months ago
Language Models of Collaborative Filtering
Abstract. Collaborative filtering is a major technique to make personalized recommendations about information items (movies, books, webpages etc) to individual users. In the liter...
Jun Wang