Music Bookmarks - Landscape
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Music lovers experience stress when discovering new music because seconds and minutes are ineffective indicators of song progress and position. Dividing songs into bookmarked sections could reduce this stress by giving listeners more control over previews and avoiding repetitive listening. Bookmarks may help reduce uncertainty during music discovery by providing a more intuitive visualization of sound segments.
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The document discusses the complexities of music analysis, contrasting ancient Greek perspectives with modern interpretations, emphasizing the emotional content and structural beauty of music. It highlights the distinction between songs, arrangements, and tracks, and explores the development of songwriting and recording practices over time. Additionally, it poses critical questions regarding the ontological and representational aspects of music, encouraging an analytical approach that prioritizes various musical elements.Elements and Principles of Music
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The document discusses the joys of music enjoyment, discovery, and sharing while exploring the future of music amidst industry control. It highlights music creation tools and online collaboration methods, emphasizing the fragmentation and resurgence of creativity among music creators. Additionally, it mentions new music production courses being offered at St. Petersburg College and provides various resources for music technology.Innovation in the online music industry
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To be able to identify the main features of a website and explain what a music website is likely to include. Music websites typically include features such as:
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- Links to social media (Facebook, Twitter, Spotify)
- Photographs
- Graphics
- Sound links
- Video links
- Stationary and moving adverts
- Dates
- Headlines
- Mastheads
- Blogs
- Forums
- Tabs
- A-Z browse menus
- Sign in/register options
- Company details
- Contact information
- Links to other sites
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The document discusses research into how melody conveys emotions to listeners. It summarizes previous work analyzing music features like mode, tempo, and pitch that influence perceived emotions. A pilot study had listeners rate emotions, moods, genres, and instruments for music clips. Findings showed basic emotions like happy and sad were recognized more than others. Future work will investigate characteristics in melody that induce emotions and could be used to predict emotional impact.Music discovery on the net
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This document discusses the history and evolution of music discovery from phonographs to modern technologies like smartphones and MP3 players. It outlines several recommendation technologies used for music discovery, including collaborative filtering based on user behavior, annotations from users, and content analysis. The document also discusses issues with recommendation systems like relevance, variety, scalability, and privacy. It provides an overview of resources that can be used to build music recommendation systems, including MusicBrainz, Last.fm, and Echo Nest for content analysis and recommendations.Track a track
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This document presents an architecture for automatically tagging and clustering song files according to mood. It uses audio content analysis to extract music features like intensity, timbre and rhythm to map songs to a 2D emotional space. It also analyzes song lyrics to map songs to a 1D emotional space representing positive or negative emotion. The results from both analyses are merged and used to classify songs into mood clusters like contentment, depression, exuberance and anxious/frantic. The system aims to enable context-aware playlist generation and music recommendation based on mood. It achieves 70.7% accuracy in mood detection on over 70 Indian songs.MIR
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The document summarizes the background of music sales and file sharing in the digital age. It discusses the technological developments that enabled digital music distribution, including the MP3 format and peer-to-peer (P2P) networks like Napster. While P2P networks made it easy to share music files online for free, the recording industry argued this hurt music sales. The document outlines the debate between those who believe file sharing reduced sales and those who think other factors were more responsible for declining sales.Tom`s article
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AI-Driven-Personalization-in-UX-Designing-for-One-in-a-Million.pdfSultan Shalakhti
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Why you should attend this event
Talk Title: AI-Driven Personalization in UX: Designing for One in a Million
In this session, Sultan Shalakhti explores how artificial intelligence is reshaping user experience through smart, adaptive personalization. From e-commerce to banking, personalized design has become a key differentiator—when done right. Learn how to apply AI tools to enhance user journeys, balance personalization with privacy, and build experiences that feel uniquely human. This talk blends strategy, ethics, and real-world use cases for UX professionals ready to embrace the future.
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What you will learn in this session
Understand the Core Concepts of AI-Driven Personalization
Explore UX Design Strategies for Hyper-Personalization
Identify Key Tools and Technologies Behind Personalization
Evaluate the Ethical and Privacy Considerations
Apply Personalization Tactics to Real UX ChallengesAd
Music Bookmarks - Landscape
- 1. Music lovers who actively discover new music need bookmarks that divide individual songs into di?erent sections, because seconds & minutes are ine?ective indicators of song position and inject stress into the music discovery process. Borui Tony Cecilia Huisi Wednesday, February 27, 13
- 2. STRESS USER BOOKMARKS Time-consuming Explore E?ciency Uncertainty Purchase Con?dence Boredom Playlist Newness Drop/Remove Wednesday, February 27, 13
- 3. Related Spotify/Rdio/Grooveshark - music discovery through popular/top lists & friends' playlists, full length "preview" Pandora - music discovery through automatically generated playlist of similar music, limited preview ability ITunes - limited but immediate preview of a large collection In?nite Jukebox - explores music segmentation, in?nitely loops a song at viable breakpoints Wednesday, February 27, 13
- 4. Trends People who are discovering/purchasing new music experience stress when they can't preview the entire song People who listen to a large volume of songs feel stressed when they have to spend lots of time listening to the whole songs to choose which to download or put into their playlists Seconds & minutes is not a good unit of length for music tracks Existing services usually o?er either a single short preview or preview the entire song Wednesday, February 27, 13
- 5. Opportunities Dividing segments of music by bookmarks can reduce listeners' stress by giving more control to the listeners during the exploring process Music bookmarking might reduce the stress of the listeners who have to to repeated sections in songs by reducing the amount of repetitions Visualization of sound segments might provide more intuitive musical cues and reduce uncertainty for music discovery Wednesday, February 27, 13