A context-aware music recommendation agent in smart office

Authors:
Donghai Guan;Qing Li;Sungyoung Lee;Youngkoo Lee
Affiliations:
Department of Computer Engineering, Kyung Hee University, Korea;Department of Computer Engineering, Kyung Hee University, Korea;Department of Computer Engineering, Kyung Hee University, Korea;Department of Computer Engineering, Kyung Hee University, Korea
Venue:
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Year:
2006

Citing 8
Cited 3

A system architecture for context-aware mobile computing

A system architecture for context-aware mobile computing
Issues in Developing Context-Aware Computing

HUC '99 Proceedings of the 1st international symposium on Handheld and Ubiquitous Computing
Popular music retrieval by detecting mood

Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
A music recommender based on audio features

Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
A conceptual framework and a toolkit for supporting the rapid prototyping of context-aware applications

Human-Computer Interaction
An infrastructure approach to context-aware computing

Human-Computer Interaction
Interaction issues in context-aware intelligent environments

Human-Computer Interaction
A middleware for context-aware agents in ubiquitous computing environments

Proceedings of the ACM/IFIP/USENIX 2003 International Conference on Middleware

Ontology-based user preference modeling for enhancing interoperability in personalized services

UAHCI'07 Proceedings of the 4th international conference on Universal access in human-computer interaction: applications and services
User adaptivity in smart workplaces

ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part II
Adaptive music retrieval---a state of the art

Multimedia Tools and Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we originally propose a music recommendation agent in a smart office to recommend music for users. Personal tastes are diverse, even the same person may have different preferences in different situations. Hence, our music recommendation is not only based on the user favorite genres but also the current mood of users. By collecting and analyzing the contextual information of users, the agent can automatically senses the mood of users and recommends music.