A Cascade-Hybrid Music Recommender System for mobile services based on musical genre classification and personality diagnosis

Multimedia Tools and Applications

Volumn 59, Issue 1, 2012, Pages 241-258

  Lampropoulos, Aristomenis S ^a   Lampropoulou, Paraskevi S ^a   Tsihrintzis, George A ^a  

^a UNIVERSITY OF PIRAEUS   (Greece)

Author keywords

Cascade Hybrid method; Mobile services; Personality diagnosis; Recommender system

Indexed keywords

ABSOLUTE ERROR; CASCADE-HYBRID METHOD; COLLABORATIVE FILTERING; COLLABORATIVE FILTERING TECHNIQUES; CONTENT-BASED APPROACH; MOBILE SERVICE; MOBILE USERS; MUSIC FILES; MUSIC GENRE CLASSIFICATION; MUSIC RECOMMENDER SYSTEMS; MUSICAL GENRE CLASSIFICATION; RECOMMENDATION MECHANISM; RECOMMENDATION TECHNIQUES; SCORING CRITERIA; USER QUERY;

GLOBAL SYSTEM FOR MOBILE COMMUNICATIONS; INTERACTIVE COMPUTER SYSTEMS; MIDDLEWARE; MOBILE DEVICES; MULTIMEDIA SYSTEMS;

RECOMMENDER SYSTEMS;

EID: 84860777260     PISSN: 13807501     EISSN: 15737721     Source Type: Journal    
DOI: 10.1007/s11042-011-0742-0     Document Type: Article

References (32)

1. G Adomavicius E Tuzhilin 2005 Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions IEEE Trans Knowl Data Eng 17 734 749 10.1109/TKDE.2005.99
2. M Albanese A Chianese A d'Acierno V Moscato A Picariello 2010 A multimedia recommender integrating object features and user behavior Multimed Tools Appl (MTAP) 50 563 585 10.1007/s11042-010-0480-8
3. D Billsus MJ Pazzani 2000 User modeling for adaptive news access User Model User-Adapt Interact 10 2-3 147 180 10.1023/A:1026501525781 10.1023/A:1026501525781
4. Breese JS, Heckerman D, Kadie C (1998) Empirical analysis of predictive algorithms for collaborative filtering. In: Proc. fourteenth conference on uncertainty in artificial intelligence. Morgan Kaufmann, Los Altos, pp 43-52
5. Burke R (2000) Knowledge-based recommender systems
6. R Burke 2002 Hybrid recommender systems: survey and experiments User Model User-Adapt Interact 12 4 331 370 10.1023/A:1021240730564 1030.68607 10.1023/A:1021240730564
7. Claypool M, Gokhale A, Miranda T, Murnikov P, Netes D, Sartin M (1999) Combining content-based and collaborative filters in an online newspaper. In: Proc. ACM SIGIR workshop on recommender systems
8. WW Cohen W Fan 2000 Web-collaborative filtering: recommending music by crawling the Web Comput Netw (Amsterdam, Netherlands: 1999) 33 1-6 685 698 10.1016/S1389-1286(00)00057-8
9. B Han S Rhon S Jun E Hwang 2010 Music emotion classification and context-based music recommendation Multimed Tools Appl (MTAP) 47 3 433 460 10.1007/s11042-009-0332-6
10. M Hossian J Parra P Atrey A Saddik 2010 A framework for human-centered provisioning of ambient media services Multimed Tools Appl (MTAP) 43 3 407 431
11. Kannel: open source WAP and SMS gateway. URL: http://www.kannel.org
12. Kreel UHG (1999) Pairwise classification and support vector machines. MIT Press, Cambridge, pp 255-268
13. Lampropoulou PS, Lampropoulos AS, Tsihrintzis GA (2006) Alimos: a middleware system for accessing digital music libraries in mobile services. In: Proc. KES2006 10th international conference on knowledge-based and intelligent information and engineering systems. Bournemouth, UK
14. Lampropoulou PS, Lampropoulos AS, Tsihrintzis GA (2008) Evaluation of a middleware system for accessing digital music libraries in mobile services. In: 5th international conference on information technology: new generations. Las Vegas, NV, USA
15. P Lampropoulos A Lampropoulos A Tsihrintzis 2009 Intelligent mobile content-based retrieval from digital music libraries Intell Decis Technol 3 3 123 138
16. Nokia: Series 40 developer platform 2.0 SDK. URL: http://www.forum.nokia. com
17. Paolo M, Paolo A (2007) Trust-aware recommender systems. In: RecSys '07: proceedings of the 2007 ACM conference on recommender systems, pp 17-24
18. M Pazzani D Billsus 1997 Learning and revising user profiles: the identification of interesting Web sites Mach Learn 27 3 313 331 10.1023/A:1007369909943 10.1023/A:1007369909943
19. Pennock DM, Horvitz E, Lawrence S, Giles CL (2000) Collaborative filtering by personality diagnosis: a hybrid memory and model-based approach. In: UAI '00: proceedings of the 16th conference on uncertainty in artificial intelligence. Morgan Kaufmann, San Francisco, pp 473-480
20. Push access protocol specification, wap-247-pap-20010429-a, wap forum. URL: http://www.wapforum.org (2001)
21. Push architectural overview, wap-250-pusharchoverview-20010703-p, wap forum. URL: http://www.wapforum.org (2001)
22. P Resnick HR Varian 1997 Recommender systems Commun ACM 40 3 56 57 10.1145/245108.245121
23. Rojsattarat E, Soonthornphisaj N (2003) Hybrid recommendation: combining content-based prediction and collaborative filtering, pp 337-344
24. Rudstrom A, Svensson M, Coster R, Hook K (2004) Mobitip: using bluetooth as a mediator of social context. In: In Ubicomp 2004 adjunct proceedings
25. B Smyth P Cotter 2000 A personalized tv listings service for the digital tv age Knowl-Based Syst 13 53 59 10.1016/S0950-7051(00)00046-0
26. Tosi D (2003) An advanced architecture for push services. In: Proceedings of the fourth international conference on Web information systems engineering workshops (WISEW'03), pp 193-200
27. Tran T, Cohen R (2000) Hybrid recommender systems for electronic commerce. In: Proc. in knowledge-based electronic markets, papers from the AAAI workshop. AAAI Technical Report WS-00-04, Menlo Park, CA, pp 78-83
28. G Tzanetakis P Cook 2000 Marsyas: a framework for audio analysis Organ Sound 4 3 169 175 10.1017/S1355771800003071
29. G Tzanetakis P Cook 2002 Musical genre classification of audio signals IEEE Trans Speech Audio Process 10 5 293 302 10.1109/TSA.2002.800560
30. VN Vapnik 1999 An overview of statistical learning theory IEEE Trans Neural Netw 10 5 988 999 10.1109/72.788640
31. Yoon WJ, Oh SH, Park KS (2006) Robust music information retrieval on mobile network based on multi-feature clustering. In: Li X, Zaiäne OR, Li Z (eds) The second international conference on advanced data mining and applications (ADMA 2006). Lecture Notes in Computer Science, vol 4093. Springer, New York, pp 279-283
32. Ericsson: WAP push SDK. URL: http://www.ericsson.com/mobilityworld/sub/ open/technologies/open/development-tips/tools/wap-push-sdk