%0 Conference Proceedings
%T Interactive Music Recommendation System for Adapting Personal Affection: IMRAPA
%+ Dept. of Computer Science and Engineering, Graduate School of Engineering
%+ Department of Media Technology [Ritsumeikan]
%A Tada, Keigo
%A Yamanishi, Ryosuke
%A Kato, Shohei
%Z Part 11: Posters
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 11th International Confernece on Entertainment Computing (ICEC)
%C Bremen, Germany
%Y Gerhard Goos
%Y Juris Hartmanis
%Y Jan van Leeuwen
%I Springer
%3 Entertainment Computing - ICEC 2012
%V LNCS-7522
%P 417-420
%8 2012-09-26
%D 2012
%R 10.1007/978-3-642-33542-6_42
%K Music retrieval system
%K Interactive system
%K Affection
%K Personalization
%Z Computer Science [cs]Conference papers
%X We have so various types of entertainment, and music is one of the most popular one. In this paper, we proposed music recommendation system that interactively adapts a user’s personal affection with only a simple operation, in which both acoustic and meta features are used. The more a user uses the proposed system, the better the system adapts the user’s personal affection and recommends the suitable songs. Through the evaluational experiment, we confirmed that the proposed system could recommend songs adapting user’s personal affection even if the personal affection variated.
%G English
%Z TC 14
%2 https://inria.hal.science/hal-01556186/document
%2 https://inria.hal.science/hal-01556186/file/978-3-642-33542-6_42_Chapter.pdf
%L hal-01556186
%U https://inria.hal.science/hal-01556186
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-ICEC
%~ IFIP-TC14
%~ IFIP-LNCS-7522