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» Dynamically-optimized context in recommender systems
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EWCBR
2006
Springer
14 years 3 days ago
Supplementing Case-based Recommenders with Context Data
Abstract. We propose that traditional case-based recommender systems can be improved by informing them with context data describing the user's environment. We outline existing...
Lorcan Coyle, Evelyn Balfe, Graeme Stevenson, Stev...
SIGIR
2011
ACM
12 years 11 months ago
Collaborative competitive filtering: learning recommender using context of user choice
While a user’s preference is directly reflected in the interactive choice process between her and the recommender, this wealth of information was not fully exploited for learni...
Shuang-Hong Yang, Bo Long, Alexander J. Smola, Hon...
IIR
2010
13 years 10 months ago
Context-Dependent Recommendations with Items Splitting
Recommender systems are intelligent applications that help on-line users to tackle information overload by providing recommendations of relevant items. Collaborative Filtering (CF...
Linas Baltrunas, Francesco Ricci
ICWS
2010
IEEE
13 years 6 months ago
An Approach for Context-Aware Service Discovery and Recommendation
Given the large amount of existing services and the diversified needs nowadays, it is time-consuming for end-users to find appropriate services. To help end-users obtain their desi...
Hua Xiao, Ying Zou, Joanna Ng, Leho Nigul
ECAI
2004
Springer
14 years 1 months ago
Context-Aware Personalised Service Delivery
Abstract. In this paper we explore the potential of adaptive recommendation techniques in an environment where users can access a variety of services from different locations, and ...
Edoardo Pignotti, Peter Edwards, Gunnar Aastrand G...