This document analyzes the results of a genre popularity questionnaire. It finds that the most popular genres among the 16-30 age group are Pop and EDM. The internet, especially YouTube, is the most common way for this age group to listen to music. When creating a music video that appeals to fans of Pop and EDM, the analysis recommends including a narrative, relationships, flashing lights/colors, and emphasizing the artist's brand. Characterization and themes should be exciting yet avoid objectification or meaningless content. The target audience has disposable income of £15-30 monthly.
An analysis of the responses I received form my survey into the R&B genre as part of my A2 Media Coursework, their artists and the consumption of music videos, broken down by gender.
Rydel Lynch is an American Actress. She is also a pop-rock singer, dancer, and instrumentalist. She is from Littleton Colorado, United States of America. Rydel Lynch is one of the founding members of pop-rock band R5. Want to know Rydel Lynch net worth, wiki, fact, boyfriend, age, and more...
I've got 10 million songs in my pocket. Now what? Paul Lamere
The proverbial 'celestial jukebox' has become a reality. With today's online music services a music fan is never more than a few clicks away from being able to listen to nearly any song that has ever been recorded. Recommender systems can play a key role in this new music ecosystem, helping listeners explore, discover, organize and share music. However, in many ways music recommendation is very different than recommendation in other well-studied domains such as books and movies. In this talk we explore how recommender systems can be used in the music space, and the particular challenges that the music domain presents to the designers of recommender systems.
An analysis of the responses I received form my survey into the R&B genre as part of my A2 Media Coursework, their artists and the consumption of music videos, broken down by gender.
Rydel Lynch is an American Actress. She is also a pop-rock singer, dancer, and instrumentalist. She is from Littleton Colorado, United States of America. Rydel Lynch is one of the founding members of pop-rock band R5. Want to know Rydel Lynch net worth, wiki, fact, boyfriend, age, and more...
I've got 10 million songs in my pocket. Now what? Paul Lamere
The proverbial 'celestial jukebox' has become a reality. With today's online music services a music fan is never more than a few clicks away from being able to listen to nearly any song that has ever been recorded. Recommender systems can play a key role in this new music ecosystem, helping listeners explore, discover, organize and share music. However, in many ways music recommendation is very different than recommendation in other well-studied domains such as books and movies. In this talk we explore how recommender systems can be used in the music space, and the particular challenges that the music domain presents to the designers of recommender systems.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
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1. Genre Popularity Questionnaire Analysis
1) What is your gender?
More
2) What is your age?
Gender
Females Males
Age
Below 15 16-25 26-35 36-45 46 and over
2. Ages 16-30 seemed to like the genres EDM and Pop the most.
3) What is your preferred genre of music?
Most Popular Genres- Pop and EDM. The songwe will choosewill beof both genres (mixed). This is
because itwould make the songand video appealingto a majority of our target audience (age 16-30).
4) Where do you listen to your preferred genre of music?
Preferred Genre
Indie Pop Rap Jazz Musical RNB Reggae EDM Rock Other
Method Of Access
Radio Internet Music Store TV Friends Other
3. The internet (YouTube, iTunes, illegal websites,etc.) seems to be the most popular way for people to
listen to their favouritemusic,this is convenient as our final music videos will beuploaded onto YouTube.
5) What do you expect to see in a music video of your preferred
genre?
As we have decided to use a song from both the Pop and EDM genres, we have decided to use the
expectation of a narrativewith relationships(Pop convention) and flashinglights/ colours(EDM
convention) to make it appealingto a larger amount of people.
6) How important is the album art on the cover CD?
Expectations
Relationships Concerts Flashing Lights and Colours Partying/clubbing
4. Most people rated the albumcover art as beingconsiderably important.We will hencetailor/styleours to
conform to the stereotypes of Pop and EDM (makes it appealingto the target audience).
7) Would you want to see the artist within the music video?
8) Would you purchase a magazine if your favourite artist on the
cover?
0
1
2
3
4
5
6
7
Insignificant(1) 2 3 4 Very Important(6)
Rating Given
No. of People
ArtistAppearance
Yes No
5. This indicates thatmost of our target audienceare dedicated and loyal fans.Hence, emphasizingon the
artist’s brand in our video will make it more appealing.
9) Describe how your specified genre video is (rating out of 5).
Dedicated Fan
Yes No Maybe
Sexualisation
Sexy(1) 2 3 4 Non Sexy(5)
Excitingness
Exciting(1) 2 3 4 Dull(5)
7. Since, the two most popular genres are Pop and EDM, we will conformto the stereotypes of these genres.
This means that our chosen song will beexciting (Pop and EDM convention), colourful (EDM con.) and
meaningful(pop con.). We do not want to sexualizeour characters as wewant to avoid ‘The Male Gaze’ as
said by Laura Mulvey.
10) Do you like remix productions of artists’ music?
11) What is your monthly income?
This shows how our target audienceconsists of mostly collegeand university students who might have a
part time job and/or supportfrom their parents to maintain their lifestyle.The priceof the song would
range from £2- 5 so that they will beableto afford it.
Remixes
Yes No
DisposableIncome
£10-15 £15-20 £20-30 £30-50
