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IAT
2008
IEEE
14 years 2 months ago
Social and Personal Context Modeling for Contact List Recommendation on Mobile Device
This paper presents a social and personal context modeling method on mobile device. It infers user’s contexts, such as amity with others and emotional state, from uncertain logs...
Jun-Ki Min, Hee-Taek Kim, Sung-Bae Cho
UM
2010
Springer
13 years 11 months ago
Interaction and Personalization of Criteria in Recommender Systems
A user’s informational need and preferences can be modeled by criteria, which in turn can be used to prioritize candidate results and produce a ranked list. We examine the use of...
Shawn R. Wolfe, Yi Zhang
ITIIS
2010
265views more  ITIIS 2010»
13 years 6 months ago
A Recommender System for Device Sharing Based on Context-Aware and Personalization
In ubiquitous computing, invisible devices and software are connected to one another to provide convenient services to users [1][2]. Users hope to obtain a personalized service wh...
Jong-Hyun Park
CSCW
2012
ACM
12 years 3 months ago
Recommending routes in the context of bicycling: algorithms, evaluation, and the value of personalization
Users have come to rely on automated route finding services for driving, public transit, walking, and bicycling. Current state of the art route finding algorithms typically rely...
Reid Priedhorsky, David Pitchford, Shilad Sen, Lor...
WWW
2010
ACM
14 years 2 months ago
Factorizing personalized Markov chains for next-basket recommendation
Recommender systems are an important component of many websites. Two of the most popular approaches are based on matrix factorization (MF) and Markov chains (MC). MF methods learn...
Steffen Rendle, Christoph Freudenthaler, Lars Schm...