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» Building a Lifestyle Recommender System
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KDD
2008
ACM
155views Data Mining» more  KDD 2008»
14 years 7 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
HYPERTEXT
2009
ACM
14 years 4 months ago
A scalable, collaborative similarity measure for social annotation systems
Collaborative annotation tools are in widespread use. The metadata from these systems can be mined to induce semantic relationships among Web objects (sites, pages, tags, concepts...
Benjamin Markines, Filippo Menczer
ISMIR
2004
Springer
79views Music» more  ISMIR 2004»
14 years 23 days ago
Towards a Socio-cultural Compatibility of MIR Systems
Future MIR systems will be of great use and pleasure for potential users. If researchers have a clear picture about their “customers” in mind they can aim at building and eval...
Stephan Baumann, Tim Pohle, Shankar Vembu
SDM
2012
SIAM
252views Data Mining» more  SDM 2012»
11 years 9 months ago
Learning from Heterogeneous Sources via Gradient Boosting Consensus
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
Xiaoxiao Shi, Jean-François Paiement, David...
JUCS
2010
108views more  JUCS 2010»
13 years 5 months ago
Integrating Social Networks for Context Fusion in Mobile Service Platforms
: It is important for mobile service providers to be aware of user contexts and to provide contextually relevant mobile services to users. Thereby, in this paper, we propose a nove...
Jason J. Jung