One Direction First Album Songs
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Legitimizing Pay to Play: Marketizing Radio Content Through a Responsive Auction Mechanism
LEGITIMIZING PAY TO PLAY: MARKETIZING RADIO CONTENT THROUGH A RESPONSIVE AUCTION MECHANISM Alon Rotem* I. INTRODUCTION ............................................. 130 II. RADIO REGULATION BACKGROUND / HISTORY ........ 131 A. Government Enforced Public Interest Standards...... 131 B. Marketization of the Public Interest Doctrine ........ 133 C. The Impact of the 1996 Telecommunications Act on License Renewals .................................... 134 III. PAYOLA RULES ............................................ 135 A. Payola Rules Impact on the Recording Industry ...... 136 B. A Brief History of Payola Transgressions ............ 137 C. Falloutfrom Recent Payola Prosecution .............. 139 D. Modern Payola Rules Ambiguity ..................... 139 IV. IMPACT OF TECHNOLOGY AND AUCTIONS ON BROAD- CAST SCARCITY ............................................ 140 A. The Rise and Evolution of Technology-Driven A uctions ....... ..................................... 141 B. Applying the Auction Mechanism to Radio Content Programm ing ........................................ 141 * J.D. Candidate 2007, University of California, Berkeley, Boalt Hall School of Law. B.S. Managerial Economics, 2001, University of California, Davis. I would like to thank my wife, Nicole, parents, Doron and Batsheva, and brothers, Tommy and Jonathan for their love, support, and encouragement. Additionally, I would like to thank Professor Howard Shelanski for his wisdom and guidance in the "Telecommunications Law & Policy" class for which this comment was written. Special thanks to Paul Cohune, who has generously de- voted his time to editing this and virtually every paper I have written in the last 10 years, to Zach Katz for sharing his profound knowledge of the music industry, and to my future col- leagues at Ropes & Gray, LLP. I am also very grateful for the assistance of the editors of the UCLA Entertainment Law Review. Mr. Rotem welcomes comments at alon.rotem@ gmail.com. -
Jeff Smith Head of Music, BBC Radio 2 and 6 Music Media Masters – August 16, 2018 Listen to the Podcast Online, Visit
Jeff Smith Head of Music, BBC Radio 2 and 6 Music Media Masters – August 16, 2018 Listen to the podcast online, visit www.mediamasters.fm Welcome to Media Masters, a series of one to one interviews with people at the top of the media game. Today, I’m here in the studios of BBC 6 Music and joined by Jeff Smith, the man who has chosen the tracks that we’ve been listening to on the radio for years. Now head of music for BBC Radio 2 and BBC Radio 6 Music, Jeff spent most of his career in music. Previously he was head of music for Radio 1 in the late 90s, and has since worked at Capital FM and Napster. In his current role, he is tasked with shaping music policy for two of the BBC’s most popular radio stations, as the technology of how we listen to music is transforming. Jeff, thank you for joining me. Pleasure. Jeff, Radio 2 has a phenomenal 15 million listeners. How do you ensure that the music selection appeals to such a vast audience? It’s a challenge, obviously, to keep that appeal across the board with those listeners, but it appears to be working. As you say, we’re attracting 15.4 million listeners every week, and I think it’s because I try to keep a balance of the best of the best new music, with classic tracks from a whole range of eras, way back to the 60s and 70s. So I think it’s that challenge of just making that mix work and making it work in terms of daytime, and not only just keeping a kind of core audience happy, but appealing to a new audience who would find that exciting and fun to listen to. -
Preparing Your Home to Sell for the Highest Possible Price
Preparing Your Home To Sell For The Highest Possible Price Table of Contents About the Team Discovering Compass Proven Process Property Marketing Supporting Your Sale About the Team $218M Top 1% Sales volume of the country Jennifer Anderson 858.210.8772 [email protected] DRE 01885540 Jennifer has simplified and systematized the home buying process, making it approachable and easy to understand. Her business is built upon the belief of educating and empowering her clients to assist them in achieving their real estate goals. Because of her commitment to her clients and the industry, she was named to REALTOR® Magazine’s National “30 Under 30” and San Diego Association of Realtors “40 Under 40”. She has continued her family’s 35-year tradition of real estate service, committed to offering the same unparalleled customer service and professionalism to the Del Mar and surrounding San Diego residential market. In 2019, Jennifer’s team was also recognized in the San Diego Business Journal as one of the top 20 real estate teams in the county, and she’s in the top 1% of residential real estate agents in the country. Her combined expertise and drive to empower the community with knowledge about real estate has led to her invitation to the Forbes Real Estate Council. Council members embody community building and contribute their professional expertise in real estate articles published on Forbes.com to help others thrive. Prior to entering the residential real estate market, Jennifer worked six years in commercial real estate and property management, part of private client and institutional group transactions for office, industrial and multi-family properties. -
Playlists from the Matrix — Combining Audio and Metadata in Semantic Embeddings
PLAYLISTS FROM THE MATRIX — COMBINING AUDIO AND METADATA IN SEMANTIC EMBEDDINGS Kyrill Pugatschewski1;2 Thomas Kollmer¨ 1 Anna M. Kruspe1 1 Fraunhofer IDMT, Ilmenau, Germany 2 University of Saarland, Saarbrucken,¨ Germany [email protected], [email protected], [email protected] ABSTRACT 2. DATASET 2.1 Crawling We present a hybrid approach to playlist generation which The Spotify Web API 2 has been chosen as source of playlist combines audio features and metadata. Three different ma- information. We focused on playlists created by tastemak- trix factorization models have been implemented to learn ers, popular users such as labels and radio stations, as- embeddings for audio, tags and playlists as well as fac- suming that their track listings have higher cohesiveness in tors shared between tags and playlists. For training data, comparison to user collections of their favorite songs. Ex- we crawled Spotify for playlists created by tastemakers, tracted data includes 30-second preview clips, genres and assuming that popular users create collections with high high-level audio features such as danceability and instru- track cohesion. Playlists generated using the three differ- mentalness. ent models are presented and discussed. In total, we crawled 11,031 playlists corresponding to 4,302,062 distinct tracks. For 1,147 playlists, we have pre- view clips for their 54,745 distinct tracks. 165 playlists are curated by tastemakers, corresponding to 6,605 tracks. 1. INTRODUCTION 2.2 Preprocessing The overabundance of digital music makes manual compi- To use the high-level audio features within our model, we lation of good playlists a difficult process. -
TELLIN' STORIES: the Art of Building & Maintaining Artist Legacies
TELLIN’ STORIES The Art Of Building & Maintaining Artist Legacies TELLIN’ STORIES: The Art of Building & Maintaining Artist Legacies Introduction “A legacy has to be proactive and reactive at the same time and their greatest successes lie in simultaneously looking back to guide the way forward...” Legacies in music are a life’s work – constantly sometimes it can have a detrimental impact. It is evolving and surprising audiences. a high-wire act and a bad decision can unspool a lifetime of work, an image becomes frozen or the It does not follow, however, that just because you artists (and their art) are painted into a corner. have built a legacy in your career that it is set in stone forever. Legacies are ongoing work and they When an artist passes away, that work they have to be worked at, refined and maintained. achieved in their lifetime has to be carried on by the Existing audiences have to be held onto and new artist’s estate. Increasingly they have to be worked audiences have to be continually brought on board. and developed just like current living artists. Streaming and social media have made that always- Equally, it does not follow that everything an on approach more straightforward, but every step artist and their team does will add to or expand has to be carefully calculated and remain true to that legacy. Sometimes it can have no impact and the original vision of that artist. 2 TELLIN’ STORIES: The Art of Building & Maintaining Artist Legacies Contents 02 Introduction 04 Filing systems: the art of archive management 12 Inventory -
Your Guide to Over 2500 Channels of Entertainment
YOUR GUIDE TO OVER 2500 CHANNELS OF ENTERTAINMENT Voted World’s Best Infl ight Entertainment Digital Widescreen February 2017 for the 12th consecutive year! PLANET Explore the wonders ofEARTH II and more incredible entertainment NEW MOVIES | DOCUMENTARIES | SPORT | ARABIC MOVIES | COMEDY TV | KIDS | BOLLYWOOD | DRAMA | NEW MUSIC | BOX SETS | AND MORE ENTERTAINMENT An extraordinary experience... Wherever you’re going, whatever your mood, you’ll find over 2500 channels of the world’s best inflight entertainment to explore on today’s flight. 496 movies Information… Communication… Entertainment… THE LATEST MOVIES Track the progress of your Stay connected with in-seat* phone, Experience Emirates’ award- flight, keep up with news SMS and email, plus Wi-Fi and mobile winning selection of movies, you can’t miss and other useful features. roaming on select flights. TV, music and games. from page 16 STAY CONNECTED ...AT YOUR FINGERTIPS Connect to the OnAir Wi-Fi 4 103 network on all A380s and most Boeing 777s Move around 1 Choose a channel using the games Go straight to your chosen controller pad programme by typing the on your handset channel number into your and select using 2 3 handset, or use the onscreen the green game channel entry pad button 4 1 3 Swipe left and right like Search for movies, a tablet. Tap the arrows TV shows, music and ĒĬĩĦĦĭ onscreen to scroll system features ÊÉÏ 2 4 Create and access Tap Settings to Português, Español, Deutsch, 日本語, Français, ̷͚͑͘͘͏͐, Polski, 中文, your own playlist adjust volume and using Favourites brightness Many movies are available in up to eight languages. -
Classical Revival in 2020
THE CLASSICAL REVIVAL IN 2020 A report by BPI, Deezer and the Royal Philharmonic Orchestra Deezer, BPI and the Royal Philharmonic (RPO) present their first ever collaborative report which brings together streaming data with consumer opinion research. Using Deezer’s streaming data, the report highlights the demographic profile of Classical listeners across a range of countries and whether that has changed during lockdown. The market research data (provided by the RPO) reports on consumer attitudes to music during the period of home isolation. The RPO has seen online and social media audience engagement soar during lockdown and it has premiered several online concerts. All the organisations involved in this report share a commitment to broadening the range and appeal of Classical music to a broader and younger audience. Please address any questions to: Chris Green: [email protected] Hannah Wright: [email protected] INTRODUCTION RPO: Guy Bellamy: [email protected] • In a one-year period (April 2019- 2020), there was a 17% increase of Classical listeners on Deezer worldwide. • In the last year, almost a third (31%) of Deezer’s Classical listeners in the UK were under 35 years old, a much younger age profile than those who typically purchase Classical music. • RPO’s research found that under 35s were the most likely age group to have listened to orchestral music during lockdown (59%, compared to a national average of 51%). • There were a greater number of female KEY listeners in the UK listening to Deezer’s FINDINGS Classical playlists during lockdown. • Classical fans preferred mood-based music during lockdown. -
Safe Haven Or Hedge: Diversification Abilities of Asset Classes in Pakistan
Munich Personal RePEc Archive Safe Haven or Hedge: Diversification Abilities of Asset Classes in Pakistan Imran, Zulfiqar Ali and Ahad, Muhammad Lahore Business School, The University of Lahore, Main Campus, Lahore, Pakistan, School of Management and Economics, Beijing Institute of Technology, Beijing, China 1 April 2021 Online at https://mpra.ub.uni-muenchen.de/107613/ MPRA Paper No. 107613, posted 08 May 2021 15:02 UTC Safe Haven or Hedge: Diversification Abilities of Asset Classes in Pakistan Zulfiqar Ali Imran Lahore Business School The University of Lahore, Lahore, Pakistan Email: [email protected] Muhammad Ahad Corresponding Author School of Management and Economics Beijing Institute of Technology, Beijing, China. Email: [email protected] Safe Haven or Hedge: Diversification Abilities of Asset Classes in Pakistan Abstract: This study compares the safe haven properties of asset classes of real estate (house, plot and residential), gold, dollar, and oil against equity returns in Pakistan for the period January 2011-December 2020. We employ the wavelet coherence to encapsulate the overall dependence and correlation of asset classes. Our results show the dependence is weaker (stronger) in short (long) term investment horizon. We also study the potential of diversification at the tail of returns distribution by applying wavelet value-at-risk (VaR) framework that reveals the degree of co-movement between gold and equity returns greatly affects the portfolio risk followed by residential property and oil. Our findings are beneficial for the individual investor, fund managers and financial advisors looking for the optimal portfolio combination that hedge the excessive negative movements in equity returns subject to the heterogeneity in the investment horizon. -
The Revolution Will Not Be Televised…But It Will Be Streamed”: Spotify, Playlist Curation, and Social Justice Movements
“THE REVOLUTION WILL NOT BE TELEVISED…BUT IT WILL BE STREAMED”: SPOTIFY, PLAYLIST CURATION, AND SOCIAL JUSTICE MOVEMENTS Melissa Camp A thesis submitted to the faculty at the University of North Carolina at Chapel Hill in partial fulfillment of the requirements for the degree of Master of Arts in the Department of Music in the School of Arts and Sciences. Chapel Hill 2021 Approved by: Mark Katz Aaron Harcus Jocelyn Neal © 2021 Melissa Camp ALL RIGHTS RESERVED ii ABSTRACT Melissa Camp: “The Revolution Will Not Be Televised…But It Will Be Streamed”: Spotify, Playlist Curation, and Social Justice Movements (Under the direction of Mark Katz) Since its launch in 2008, the Swedish-based audio streaming service Spotify has transformed how consumers experience music. During the same time, Spotify collaborated with social justice activists as a means of philanthropy and brand management. Focusing on two playlists intended to promote the Black Lives Matter movement (2013–) and support protests against the U.S. “Muslim Ban” (2017–2020), this thesis explores how Spotify’s curators and artists navigate the tensions between activism and capitalism as they advocate for social justice. Drawing upon Ramón Grosfoguel’s concept of subversive complicity (2003), I show how artists and curators help promote Spotify’s progressive image and bottom line while utilizing the company’s massive platform to draw attention to the people and causes they care most about by amplifying their messages. iii To Preston Thank you for your support along the way. iv ACKNOWLEDGMENTS I would first like to thank my thesis advisor, Mark Katz, for his dedication and support throughout the writing process, especially in reading, writing, and being the source of advice, encouragement, and knowledge for the past year. -
Effects of Recommendations on the Playlist Creation Behavior of Users Iman Kamehkhosh, Geoffray Bonnin, Dietmar Jannach
Effects of recommendations on the playlist creation behavior of users Iman Kamehkhosh, Geoffray Bonnin, Dietmar Jannach To cite this version: Iman Kamehkhosh, Geoffray Bonnin, Dietmar Jannach. Effects of recommendations on the playlist creation behavior of users. User Modeling and User-Adapted Interaction, Springer Verlag, 2019, 10.1007/s11257-019-09237-4. hal-02476936 HAL Id: hal-02476936 https://hal.archives-ouvertes.fr/hal-02476936 Submitted on 13 Feb 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. User Modeling and User-Adapted Interaction https://doi.org/10.1007/s11257-019-09237-4 Effects of recommendations on the playlist creation behavior of users Iman Kamehkhosh1 · Geoffray Bonnin2 · Dietmar Jannach3 Received: 15 August 2018 / Accepted in revised form: 27 March 2019 © The Author(s) 2019 Abstract The digitization of music, the emergence of online streaming platforms and mobile apps have dramatically changed the ways we consume music. Today, much of the music that we listen to is organized in some form of a playlist, and many users of modern music platforms create playlists for themselves or to share them with others. The manual creation of such playlists can however be demanding, in particular due to the huge amount of possible tracks that are available online. -
Big Daddy's Ultimate Playlist!
BIG DADDY’S ULTIMATE PLAYLIST! It's simple. I scroll through my iPod and when I come upon an artist that I have at least 15 songs by, I then pick one AND ONLY ONE song to make THE ULTIMATE PLAYLIST. (The number next to the artist is how many songs I have by that artist on my I-pod) A AC/DC... 17... YOU SHOOK ME ALL NIGHT LONG ARETHA FRANKLIN... 27... RESPECT Came close to selecting the live DR. FEELGOOD off ARETHA IN PARIS, but there is no denying the power and majesty of RESPECT. After a gazillion listens, it STILL rocks. AL GREEN... 16... LET’S STAY TOGETHER ALANIS MORISSETTE... 15... THE COUCH What can I say? I loved her first two CD's which is how she ended up with EXACTLY 15 songs ARTIE SHAW... 21... DANCIN’ IN THE DARK B THE BAND... 18... RAG, MAMA RAG B-52S... 15... PLANET CLAIRE BARRY WHITE... 16... YOU’RE MY FIRST, MY LAST, MY EVERYTHING BEACH BOYS... 116... GIRLS ON THE BEACH I know what you're thinking, this should be GOD ONLY KNOWS or a million others, but this one just floors me with it's staggering harmonies and innocence and it's also one of the first Beach Boy tunes I ever heard . BEATLES... 198... YOU CAN’T DO THAT No, I'm not kidding. BEASTIE BOYS... 25... SURE SHOT BEN FOLDS... 32... SONG FOR THE DUMPED BENNY GOODMAN... 22... WHAT’S NEW BOB DYLAN... 115... LIKE A ROLLING STONE I could have easily went with Adam's pick or many others, but ROLLING STONE gives you six minutes worth of Bob. -
Random Walk with Restart for Automatic Playlist Continuation and Query-Specific Adaptations
Random Walk with Restart for Automatic Playlist Continuation and Query-Specific Adaptations Master's Thesis Timo van Niedek Radboud University, Nijmegen [email protected] 2018-08-22 First Supervisor Prof. dr. ir. Arjen P. de Vries Radboud University, Nijmegen [email protected] Second Supervisor Prof. dr. Martha A. Larson Radboud University, Nijmegen [email protected] Abstract In this thesis, we tackle the problem of automatic playlist continuation (APC). APC is the task of recommending one or more tracks to add to a partially created music playlist. Collaborative filtering methods for APC do not take the purpose of a playlist into account, while recent research has shown that a user's judgement of playlist quality is highly subjective. We therefore propose a system in which metadata, audio features and playlist titles are used as a proxy for its purpose, and build a recommender that combines these features with a CF-like approach. Based on recent successes in other recommendation domains, we use random walk with restart as our first recommendation approach. The random walks run over a bipartite graph representation of playlists and tracks, and are highly scalable with respect to the collection size. The playlist characteristics are determined from the track metadata, audio features and playlist title. We propose a number of extensions that integrate these characteristics, namely 1) title-based prefiltering, 2) title-based retrieval, 3) feature-based prefiltering and 4) degree pruning. We evaluate our results on the Million Playlist Dataset, a recently published dataset for the purpose of researching automatic playlist continuation.