[1] Campbel M E, Clune Iii J E, Hicken W T, et al. Music Recommendation System and Method: USA, WO 2005038666 A1[P]. 2004-08-13.
[2] Pachet F. Knowledge Management and Musical Metadata [A]//Schwartz D. Encyclopedia of Knowledge Management [M]. Idea Group, 2005.
[3] Shardanand U, Maes P. Social Information Filtering: Algorithms for Automating “Word of Mouth”[C]. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. New York, USA: ACM, 1995:210-217.
[4] Lee S. A Generic Graph-Based Multidimensional Recommendation Framework and Its Implementations[C]. In: Proceedings of the 21st International Conference Companion on World Wide Web. ACM, 2012: 161-166.
[5] Yoshii K, Goto M, Komatani K, et al. Hybrid Collaborative and Content-Based Music Recommendation Using Probabilistic Model with Latent User Preferences [C]. In: Proceedings of the International Conference on Music Information Retrieval. 2006.
[6] Liu Z, Wang Y, Chen T. Audio Feature Extraction and Analysis for Scene Segmentation and Classification [J]. Journal of VLSI Signal Processing Systems for Signal, Image and Video Technology, 1998, 20(1-2): 61-79.
[7] Li S Z. Content-Based Audio Classification and Retrieval Using the Nearest Feature Line Method [J]. IEEE Transactions on Speech and Audio Processing, 2000, 8(5): 619-625.
[8] Gouyon F, Pachet F, Delerue O. On the Use of Zero-Crossing Rate for an Application of Classification of Percussive Sounds[C]. In: Proceedings of the COST-G6 Conference on Digital Audio Effects(DAFX-00), Verona, Italy. 2000.
[9] 王金明, 张雄伟. 话者识别系统中语音特征参数的研究与仿真[J]. 系统仿真学报, 2003, 15(9): 1276-1278. (Wang Jinming, Zhang Xiongwei. Study and Simulation of the Acoustic Features in Speaker Recognition System [J]. Journal of System Simulation, 2003,15(9): 1276-1278.)
[10] Cano P, Koppenberger M, Wack N. An Industrial-Strength Content-Based Music Recommendation System [C]. In: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM, 2005: 673.
[11] Pohle T, Pampalk E, Widmer G. Generating Similarity-Based Playlists Using Traveling Salesman Algorithms [C]. In: Proceedings of the 8th International Conference on Digital Audio Effects (DAFx-05). 2005: 220-225.
[12] Kuo F F, Shan M K. A Personalized Music Filtering System Based on Melody Style Classification [C]. In: Proceedings of the 2002 IEEE International Conference on Data Mining. IEEE Conference Publication, 2002:649-652.
[13] Vignoli F, Pauws S. A Music Retrieval System Based on User-Driven Similarity and Its Evaluation[C]. In: Proceedings of International Symposium on Music Information Retrieval. 2005: 272-279.
[14] Sotiropoulos D N, Lampropoulos A S, Tsihrintzis G A. MUSIPER: A System for Modeling Music Similarity Perception Based on Objective Feature Subset Selection [J]. User Modeling User-Adapted Interaction, 2008, 18(4): 315-348.
[15] Shao B, Wang D, Li T, et al. Music Recommendation Based on Acoustic Features and User Access Patterns[J]. IEEE Transactions on Audio, Speech, and Language Processing, 2009, 17(8): 1602-1611.
[16] Bogdanov D, Haro M, Fuhrmann F, et al. Semantic Audio Content-Based Music Recommendation and Visualization Based on User Preference Examples [J]. Information Processing and Management, 2013, 49(1): 13-33.
[17] Aucouturier J J, Pachet F. Music Similarity Measures: What's the Use?[C]. In: Proceedings of the 3rd International Conference on Music Information Retrieval (IS-MIR2002). 2002: 157-163.
[18] Donaldson J. A Hybrid Social-Acoustic Recommendation System for Popular Music[C]. In: Proceedings of the 2007 ACM Conference on Recommender Systems. ACM, 2007: 187-190.
[19] 牛滨, 孔令志, 罗森林, 等. 基于 MFCC 和 GMM 的个性音乐推荐模型[J]. 北京理工大学学报, 2009, 29(4): 351-355. (Niu Bin, Kong Lingzhi, Luo Senlin, et al. Individuality Music Recommendation Model Based on MFCC and GMM [J]. Transactions of Beijing Institute of Technology, 2009, 29(4): 351-355.)
[20] 孔旭, 关佶红. 以声谱图相似度为度量的波形音乐检索[J]. 计算机工程与应用, 2009, 45(13): 136-141. (Kong Xu, Guan Jihong. Audio Format Music Retrieval Based on Spectrogram Similarity [J]. Computer Engineering and Applications, 2009, 45(13): 136-141.)
[21] 刘亚多, 李伟, 李晓强, 等.压缩域鲁棒音乐指纹算法研究[J]. 电子学报, 2010, 38(5): 1172-1176. (Li Yaduo, Li Wei, Li Xiaoqiang, et al. A Robust Compressed-Domain Music Fingerprinting Technique Based on MDCT Spectral Entropy [J]. Acta Electronica Sinica, 2010, 38(5): 1172-1176.)
[22] 张燕, 唐振民, 李燕萍. 面向推荐系统的音乐特征抽取[J]. 计算机工程与应用, 2011, 47(5): 130-133. (Zhang Yan, Tang Zhenmin, Li Yanping. Music Feature Extraction Method for Recommendation System [J]. Computer Engineering and Applications, 2011, 47(5): 130-133.)
[23] Lee J H, Downie J S. Survey of Music Information Needs, Uses, and Seeking Behaviours: Preliminary Findings [C]. In: Proceedings of the International Society for Music Information Retrieval. 2004: 441-446.
[24] Datta D. Managing Metadata [C]. In: Proceedings of the International Conference on Music Information Retrieval. 2002.
[25] Swartz A. MusicBrainz: A Semantic Web Service [J]. IEEE Intelligent Systems, 2002, 17(1): 76-77.
[26] Joyce J. Pandora and the Music Genome Project [J]. Scientific Computing, 2006, 23(10): 40-41.
[27] Anderson N. Making Money Selling Music Without DRM: The Rise of eMusic [EB/OL]. (2006-09-04). [2014-02-12]. http://arstechnica.com/gadgets/2006/05/emusic/.
[28] Pachet F, Burthe A L, Zils A, et al. Popular Music Access: The Sony Music Browser [J]. Journal of the American Society for Information Science and Technology, 2004, 55(12): 1037-1044.
[29] Schedl M, Liem C C S, Peeters G, et al. A Professionally Annotated and Enriched Multimodal Data Set on Popular Music[C]. In: Proceedings of the 4th ACM Multimedia Systems Conference. ACM, 2013: 78-83.
[30] Chen H C, Chen A L P. A Music Recommendation System Based on Music Data Grouping and User Interests [C]. In: Proceedings of the 10th ACM CIKM International Conference on Information and Knowledge Management. 2001, 1: 231-238.
[31] Pachet F, Aucouturier J J, Burthe A L, et al. The Cuidado Music Browser: An End-to-End Electronic Music Distribution System [J]. Multimedia Tools and Applications, 2006, 33(1): 331-349.
[32] Celma Ò. Foafing the Music: Bridging the Semantic Gap in Music Recommendation[A]//The Semantic Web-ISWC 2006 [C]. Springer Berlin Heidelberg, 2006: 927-934.
[33] Pachet F, Westermann G, Laigre D. Musical Data Mining for Electronic Music Distribution [C]. In: Proceedings of the 1st International Conference on Web Delivering of Music, 2001: 101-106.
[34] Cohen W W, Fan W. Web-Collaborative Filtering: Recomme-nding Music by Crawling the Web [J]. Computer Networks, 2000, 33(1): 685-698.
[35] Whitman B, Lawrence S. Inferring Descriptions and Similarity for Music from Community Metadata [C]. In: Proceedings of the 2002 International Computer Music Conference, 2002: 591-598.
[36] Baumann S, Hummel O. Enhancing Music Recommendation Algorithms Using Cultural Metadata [J]. Journal of New Music Research, 2005, 34(2): 161-172.
[37] Zadel M, Fujinaga I. Web Services for Music Information Retrieval [C]. In: Proceedings of the 5th International Conference on Music Information Retrieval. 2004.
[38] Knees P, Pampalk E, Widmer G. Artist Classification with Web-Based Data [C]. In: Proceedings of the 5th International Symposium on Music Information Retrieval. 2004.
[39] Kaji K, Hirata K, Nagao K. A Music Recommendation System Based on Annotations about Listeners' Preferences and Situations [C]. In: Proceedings of the 1st International Confernce on Automated Production of Cross Media Content for Multi-Channel Distribution. 2005.
[40] Mandel M, Ellis D. A Web-Based Game for Collecting Music Metadata [J]. Journal of New Music Research, 2008, 37(2): 151-165.
[41] Olivier H, Waselewsky M, Pinkwart N. MusicTagger: Exploiting User Generated Game Data for Music Recommendation [A]// Human-Computer Interaction. Users and Applications [M]. Springer Berlin Heidelberg, 2011: 678-687.
[42] Baccigalupo C, Plaza E. Poolcasting: A Social Web Radio Architecture for Group Customisation [C]. In: Proceedings of the 3rd International Conference on Automated Production of Cross Media Content for Multi-Channel Distribution. IEEE Computer Society, 2007: 115-122.
[43] Schedl M, Hauger D. Mining Microblogs to Infer Music Artist Similarity and Cultural Listening Patterns [C]. In: Proceedings of the 4th International Workshop on Advances in Music Information Research. 2012: 877-886.
[44] Tan S, Bu J, Chen C, et al. Using Rich Social Media Information for Music Recommendation via Hypergraph Model [A]// Social Media Modeling and Computing [M]. London: Springer, 2011: 213-237.
[45] Tso-Sutter K H L, Marinho L B, Thieme L S. Tag-Aware Recommender Systems by Fusion of Collaborative Filtering Algorithms [C]. In: Proceedings of the 2008 ACM Symposium on Applied Computing. ACM, 2008: 1995-1999.
[46] Nanopoulos A, Rafailidis D, Symeonidis P, et al. MusicBox: Personalized Music Recommendation Based on Cubic Analysis of Social Tags [J]. IEEE Transactions on Audio, Speech, and Language Processing, 2010, 18(2): 407-412.
[47] Kim H H. A Semantically Enhanced Tag-Based Music Recommendation Using Emotion Ontology [A]// Intelligent Information and Database Systems [M]. Springer Berlin Heidelberg, 2013: 119-128.
[48] 徐淮杰, 张二芬. 基于关联规则与奇异值分解的音乐推荐系统[J]. 电子设计工程, 2013, 21(1): 17-19. (Xu Huaijie, Zhang Erfen. Music Recommender System Based on Association Rules and Singular Value Decomposition [J]. Electronic Design Engineering, 2013, 21(1): 17-19.)
[49] Baumann S, Hummel O. Using Cultural Metadata for Artist Recommendations [C]. In: Proceedings of the 3rd International Conference on Web Delivering of Music. 2003: 138-141.
[50] Crossen A, Budzik J, Hammond K J. Flytrap: Intelligent Group Music Recommendation [C]. In: Proceedings of the 7th International Conference on Intelligent User Interfaces. ACM, 2002: 184-185.
[51] Jameson A, Smyth B. Recommendation to Groups[A]//The Adaptive Web [M]. Springer Berlin Heidelberg, 2007: 596-627.
[52] 陈雅茜. 公共环境下的混合型音乐推荐系统的关键技术研究[J]. 计算机应用研究, 2012, 29(11): 4250-4253. (Chen Yaxi. Hybrid Music Recommender System in Public Environment [J]. Application Research of Computers, 2012, 29(11): 4250-4253.)
[53] Popescu G, Pu P. What's the Best Music You Have?: Designing Music Recommendation for Group Enjoyment in GroupFun [C]. In: Proceedings of the 2012 ACM Annual Conference Extended Abstract on Human Factors in Computing Systems Extended Abstract. ACM, 2012: 1673-1678.
[54] Raimond Y, Abdallah A S, Sandler M, et al. The Music Ontology [C]. In: Proceedings of the 8th International Conference on Music Information Retrieval. 2007: 417-422.
[55] Han B J, Rho S, Jun S, et al. Music Emotion Classification and Context-Based Music Recommendation [J]. Multimedia Tools and Applications, 2010, 47(3): 433-460.
[56] Rho S, Song S, Hwang E, et al. COMUS: Ontological and Rule-Based Reasoning for Music Recommendation System [A]//Advances in Knowledge Discovery and Data Mining [M]. Springer Berlin Heidelberg, 2009: 859-866.
[57] Zhou T, Kuscsik Z, Liu J G, et al. Solving the Apparent Diversity-Accuracy Dilemma of Recommender Systems [J]. Proceedings of the National Academy of Sciences of the United State of America, 2010, 107(10): 4511-4515.
[58] Shani G, Gunawardana A. Evaluating Recommendation Systems [A]// Recommender Systems Handbook [M]. Springer US, 2011: 257-297.
[59] Celma Ò. Music Recommendation [A]// Music Recommen-dation and Discovery [M]. Springer Berlin Heidelberg, 2010: 43-85.
[60] Hurley N, Zhang M. Novelty and Diversity in Top-N Recommendation—Analysis and Evaluation [J]. ACM Transactions on Internet Technology, 2011, 10(4): Article No.14.
[61] Murakami T, Mori K, Orihara R. Metrics for Evaluating the Serendipity of Recommendation Lists [A]// New Frontiers in Artificial Intelligence [M]. Springer Berlin Heidelberg, 2008: 40-46.
[62] Murakami T, Mori K, Orihara R. A Method to Enhance Serendipity in Recommendation and Its Evaluation [J]. Transactions of the Japanese Society for Artificial Intelligence, 2009, 24(5): 428-436.
[63] Zhang Y C, Séaghdha D Ó, Quercia D, et al. Auralist: Introducing Serendipity into Music Recommendation [C]. In: Proceedings of the 5th ACM International Conference on Web Search and Data Mining. ACM, 2012:13-22..
[64] Adomavicius G, Tuzhilin A. Context-Aware Recommender Systems [A]// Recommender Systems Handbook [M]. Springer US, 2011: 217-253.
[65] Wang X, Rosenblum D, Wang Y. Context-Aware Mobile Music Recommendation for Daily Activities [C]. In: Proceedings of the 20th ACM International Conference on Multimedia. ACM, 2012: 99-108.
[66] Braunhofer M, Kaminskas M, Ricci F. Location-Aware Music Recommendation [J]. International Journal of Multimedia Information Retrieval, 2013, 2(1): 31-44.