Music recommendation using content and context information mining

IEEE Intelligent Systems

Volumn 25, Issue 1, 2010, Pages 16-26

  Su, Ja Hwung ^a   Yeh, Hsin Ho ^a,b   Yu, Philip S ^c   Tseng, Vincent S ^a  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

^b INSTITUTE OF INFORMATION SCIENCE   (Taiwan)

^c University of Illinois at Chicago   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CAPACITY REQUIREMENT; COMMUNICATION SERVICE; COMPRESSION TECHNIQUES; CONTEXT INFORMATION; LARGE DATA; MULTIMEDIA DATA; MUSIC DATA; MUSIC RECOMMENDATION; MUSIC STORES; REAL-TIME ACCESS; SMALL SCREENS; SMART PHONES; STORAGE SPACES;

MOBILE DEVICES; TELEPHONE SETS;

INFORMATION RETRIEVAL;

EID: 77952337308     PISSN: 15411672     EISSN: None     Source Type: Journal    
DOI: 10.1109/MIS.2010.23     Document Type: Conference Paper

References (7)

1. G. Reynolds et al., "Interacting with Large Music Collections: Towards the Use of Environmental Metadata," Proc. IEEE Int'l Conf. Multimedia and Expo, IEEE Press, 2008, pp. 989-992.
2. J.J. Aucouturier, F. Pachet, and M. Sandler, "'The Way It Sounds': Timbre Models for Analysis and Retrieval of Music Signals," IEEE Trans. Multimedia, vol. 7, no. 6, 2005, pp. 1028-1035.
3. Y. Jiao et al., "MDCT-Based Perceptual Hashing for Compressed Audio Content Identification," Proc. IEEE 9th Workshop Multimedia Signal Processing (MMSP 07), IEEE Press, 2007, pp. 381-384.
4. R. Agrawal, T. Imielinski, and A.N. Swami, "Mining Association Rules between Sets of Items in Large Databases," Proc. ACM SIGMOD Int'l Conf. Management of Data, ACM Press, 1993, pp. 207-216.
5. R. Burke, "Hybrid Recommender Systems: Survey and Experiments," User Modeling and User-Adapted Interaction, vol. 12, no. 4, 2002, pp. 331-370.
6. B.M. Sarwar et al., "Item-Based Collaborative Filtering Recommendation Algorithms," Proc. 10th Int'l Conf. World Wide Web (WWW 01), ACM Press, 2001, pp. 285-295.
7. J. Wang, A.P. de Vries, and M.J.T. Reinders, "Unifying User-Based and Item-Based Collaborative Filtering Approaches by Similarity Fusion," Proc. 29th Ann. Int'l ACM SIGIR Conf. Research and Development in Information Retrieval (SIGIR 06), ACM Press, 2006, pp. 501-508.