Question.2247 - Compare the personalization technologies of TWO Internet radio and streaming services (Pandora, Last FM, Spotify Radio, Apple Radio, etc.). Create a list of three music artists. No two of the artists should be performers within the same genre (for example, hip-hop, country, jazz, EDM, metal). Enter each performer's name into one of the sites' search engine, and record the first five recommendations it offers or plays you (feel free to skip through tracks). Then, do the same for the other radio site. Summarize your findings. Did the services offer the same, or comparable, recommendations? Within each service, how similar or different were the recommendations for each artist that you searched? Why are the recommendations different? What are some features of the underlying code and software that make Pandora and LastFM recommendations different? You will need to research these information online and/or using library resources. Create the report and submit it here on BB2. Lab resources: http:// (http://www.lastfm.com/) (http://www.lastfm.com/) www.lastfm.com (http://www.lastfm.com/) (http://www.lastfm.com/) ; http://pandora.com (http://pandora.com) (http://pandora.com)Example of how results should be listed (this example doesn't include the "answers" to why the questions are differnt; you may need to do a bit of online research to help you there): Madonna Genre: Pop LastFM: 1. Hollywood by Madonna 2. Welcome to Burlesque by Cher 3. Get Outta My Way by Kylie Minogue 4. Viva Forever by the Spice Girls 5. Candyman by Christina Aguilera Pandora: 1. Papa Don’t Preach by Madonna 2. Take on Me by A-ha 3. Just Dance by Lady Gaga 4. Love is a Battlefield by Pat Benatar? https://canvas.uhd.edu/courses/20507/assignments/533920 2/2 5. Don’t Tell Me by Madonna
Answer Below:
Lab xxxxxxxxxx Digital xxxxxxxx three xxxxxxxx music xxxxxxx for xxx assignment xxx listed xxxxx Kendrick xxxxx Hip-hop xxx Taylor xxxxx Pop xxxxxxx Daft xxxx Electronic xxxxx The xxxxxxxxxxxxxxx artists xxx searched xx Last xx and xxxxxxx thus xxxxx first xxxx recommendations xxx noted xxx presented xxxxx nbsp xxxx FM xxxxxxxxxxxxxxx Pandora xxxxxxxxxxxxxxx Kendrick xxxxx HUMBLE xx Kendrick xxxxx DNA xx Kendrick xxxxx LOYALTY xxxx RIHANNA xx Kendrick xxxxx King xxxxx by xxxxxxxx Lamar xxxxx Trees xx Kendrick xxxxx HUMBLE xx Kendrick xxxxx Swimming xxxxx Drank xx Kendrick xxxxx DNA xx Kendrick xxxxx King xxxxx by xxxxxxxx Lamar xxxxxxx by xxxxxxxx Lamar xxxx Taylor xxxxx Shake xx Off xx Taylor xxxxx Blank xxxxx by xxxxxx Swift xx feat xxxxxxx Urie xx Panic xx The xxxxx by xxxxxx Swift xxxx What xxx Made xx Do xx Taylor xxxxx Love xxxxx by xxxxxx Swift xxxxx It xxx by xxxxxx Swift xxxxx Space xx Taylor xxxxx ME xxxx Brendon xxxx of xxxxx At xxx Disco xx Taylor xxxxx Look xxxx You xxxx Me xx by xxxxxx Swift xxx Belong xxxx Me xx Taylor xxxxx Daft xxxx Get xxxxx feat xxxxxxxx Williams xxx Nile xxxxxxx by xxxx Punk xxx More xxxx by xxxx Punk xxxxxx Better xxxxxx Stronger xx Daft xxxx Instant xxxxx feat xxxxxx Casablancas xx Daft xxxx Around xxx World xx Daft xxxx Get xxxxx by xxxx Punk xxx More xxxx by xxxx Punk xxxxxx Better xxxxxx Stronger xx Daft xxxx Instant xxxxx by xxxx Punk xxxxx It xxxxx feat xxxxx Bear xx Daft xxxx nbsp xxxxx on xxx above xxxxxx results xx is xxxxxxxx that xxx recommendations xxxx Pandora xxx Last xx are xxxxxxx for xxxx artist xxxxxxxxxxxx It xx found xxxx both xxxxx sites xx applications xxxx to xxxxxxxxxx the xxxx popular xxx famous xxxxxx from xxxx of xxx three xxxxxxx which xx probably xxxxxxx of xxxxx recommendation xxxxxxxxxx based xx factors xxxx as xxxx count xxxx ratings xxx similarities xxxxxxx the xxxxxx of xxx listeners xxxxxxxxxx Bonnin xxx Jannach xxxxxxx it xx also xxxxx that xxxxx are xxxxxx differences xx the xxxxxxxxxxxxxxx offered xx Pandora xxx Last xx For xxxxxxxx Last xx recommended xxxxxxx FEAT xxxxxxx sung xx Kendrick xxxxx while xxxxxxx did xxx include xxxx track xx its xxx five xxxxxxxxxxxxxxx Similarly xxxxxxx suggested xxxxx It xxxxx feat xxxxx Bear xx Daft xxxx but xx is xxx included xx Last xxxx recommendations xxx the xxxx artist xxx in xxx top xxxx list xxxxx differences xxx be xxxxxxxxxx to xxx primary xxxxxxxxxxxxxx algorithms xxxx by xxxx service xxxxxxx notably xxxx its xxxxx Genome xxxxxxx which xxxxxxxxx musical xxxxxxxxxx to xxxx suggestions xxxxx on xxxxxxxxxxxx between xxxxx Pandora xxxx FM xx the xxxxx side xxxxxx significantly xx user xxxx such xx scrobbles x e xxxx a xxxx listens xx a xxxxx user xxxxxxxxxxx and xxxxxx connections xx generate xxxxxxxxxxx Flaneur xxxx ReferencesPandora x What xx the xxxxx Genome xxxxxxx https xxxxxxxxx pandora xxx t xxxxxxxxxxxxxx What-is-the-Music-Genome-Project xxxx text xxx Music xxxxxx Project xxxxxxxx Din xxxxxx recommendation xxxxxxxxxx nbsp xxxxxxxxxx I xxxxxx G xxx Jannach x Effects xx recommendations xx the xxxxxxxx creation xxxxxxxx of xxxxx nbsp xxxx Modeling xxx User-Adapted xxxxxxxxxxx nbsp x https xxxx springer xxx article x - x - xxxx nbsp xxxxxxx Yes xx does xxxxx blog xxxx fm xxxxxxxxxxx nbsp xxxx nbsp xxxx nbsp xxxxMore Articles From Communication
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