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» Dynamically-optimized context in recommender systems
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CHI
2006
ACM
14 years 5 months ago
Accounting for taste: using profile similarity to improve recommender systems
Recommender systems have been developed to address the abundance of choice we face in taste domains (films, music, restaurants) when shopping or going out. However, consumers curr...
Philip Bonhard, Clare Harries, John D. McCarthy, M...
UCS
2007
Springer
13 years 11 months ago
Context Awareness by Case-Based Reasoning in a Music Recommendation System
The recommendation system is one of the core technologies for implementing personalization services. Recommendation systems in ubiquitous computing environment should have the capa...
Jae Sik Lee, Jin Chun Lee
ICDE
2007
IEEE
173views Database» more  ICDE 2007»
13 years 7 months ago
A Hybrid Recommender System for Context-aware Recommendations of Mobile Applications
The goal of the work in this paper is towards the incorporation of context in recommender systems in the domain of mobile applications. The approach recommends mobile applications...
Wolfgang Wörndl, Christian Schüller, Rol...
MDM
2005
Springer
13 years 10 months ago
Dynamically-optimized context in recommender systems
Traditional approaches to recommender systems have not taken into account situational information when making recommendations, and this seriously limits the relevance of the resul...
Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang
ICFP
2005
ACM
14 years 5 months ago
Dynamic optimization for functional reactive programming using generalized algebraic data types
A limited form of dependent types, called Generalized Algebraic Data Types (GADTs), has recently been added to the list of Haskell extensions supported by the Glasgow Haskell Comp...
Henrik Nilsson