Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Understanding User Requirements for Music Information Services
Survey Of Music Information Needs, Uses, And Seeking Behaviours: Preliminary Findings
Content-Based Music Information Retrieval: Current Directions and Future Challenges
Content-based organization and visualization of music archives
Current challenges and visions in music recommender systems research
A Survey on Music Listening and Management Behaviours
Music, Movies and Meaning: Communication in Film-Makers' Search for Pre-Existing Music, and the Implications for Music Information Retrieval
A music recommendation system based on music data grouping and user interests
Elucidating User Behavior in Music Services Through Persona and Gender
Semantic audio content-based music recommendation and visualization based on user preference examples
A Hybrid Approach for Music Recommendation
Music Information Retrieval
Local implicit feedback mining for music recommendation
A Semantic Web ontology for context-based classification and retrieval of music resources
A Machine Learning based Music Retrieval and Recommendation System.
Music Information Retrieval System Using Lyrics and Melody Information
Music21: A Toolkit for Computer-Aided Musicology and Symbolic Music Data
Socially Augmented Music Discovery with Collaborative Playlists and Mood Pictures
A survey of computer systems for expressive music performance
Sequence-based context-aware music recommendation
Mashup Service Recommendation Based on User Interest and Social Network
Novel LIM (Laser Induced Metallization) technologies of ITRI applied to WWAN/LTE 2-port antenna array for smart handset applications
enhancing the in vitro cytotoxic activity of delta9 - tetrahydrocannabinol in leukemic cells through a combinatorial approach .
A 0.4-V Wide Temperature Range All-MOSFET Subthreshold Voltage Reference With 0.027%/V Line Sensitivity
Horizontal distance and height determining falling pattern.
The role of transparency in recommender systems