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 Last xx Recommendations xxxxxxx Recommendations xxxxxxxx Lamar xxxxxx by xxxxxxxx Lamar xxx by xxxxxxxx Lamar xxxxxxx FEAT xxxxxxx by xxxxxxxx Lamar xxxx Kunta xx Kendrick xxxxx Money xxxxx by xxxxxxxx Lamar xxxxxx by xxxxxxxx Lamar xxxxxxxx Pools xxxxx by xxxxxxxx Lamar xxx by xxxxxxxx Lamar xxxx Kunta xx Kendrick xxxxx Alright xx Kendrick xxxxx 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 xxxx Rodgers xx Daft xxxx One xxxx Time xx Daft xxxx Harder xxxxxx Faster xxxxxxxx by xxxx Punk xxxxxxx Crush xxxx Julian xxxxxxxxxxx by xxxx Punk xxxxxx the xxxxx by xxxx Punk xxx Lucky xx Daft xxxx One xxxx Time xx Daft xxxx Harder xxxxxx Faster xxxxxxxx by xxxx Punk xxxxxxx Crush xx Daft xxxx Doin' xx Right xxxx Panda xxxx by xxxx Punk 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 xxxxxxx However xx is xxxx found xxxx there xxx slight xxxxxxxxxxx in xxx recommendations xxxxxxx by xxxxxxx and xxxx FM xxx instance xxxx FM xxxxxxxxxxx LOYALTY xxxx RIHANNA xxxx by xxxxxxxx Lamar xxxxx Pandora xxx not xxxxxxx this xxxxx in xxx top xxxx recommendations xxxxxxxxx Pandora xxxxxxxxx Doin' xx Right xxxx Panda xxxx by xxxx Punk xxx it xx not xxxxxxxx in xxxx FM's xxxxxxxxxxxxxxx for xxx same xxxxxx are xx the xxx five xxxx These xxxxxxxxxxx can xx attributed xx the xxxxxxx recommendation xxxxxxxxxx used xx each xxxxxxx Pandora xxxxxxx uses xxx Music xxxxxx Project xxxxx evaluates xxxxxxx attributes xx make xxxxxxxxxxx based xx similarities xxxxxxx songs xxxxxxx Last xx on xxx other xxxx relies xxxxxxxxxxxxx on xxxx data xxxx as xxxxxxxxx i x when x user xxxxxxx to x track xxxx preferences xxx social xxxxxxxxxxx to xxxxxxxx suggestions xxxxxxx 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 Kamehkhosh x Bonnin x Jannach x Effects xx recommendations xx the xxxxxxxx creation xxxxxxxx of xxxxx User xxxxxxxx and xxxxxxxxxxxx Interaction x https xxxx springer xxx article x - x - xxxxxxx Yes xx does xxxxx blog xxxx fm xxxxxxxxxxxMore Articles From Communication
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