References

[1] C. Anderson. The Long Tail: Why the Future of Business Is Selling Less of More. Hyperion, 2006.

[2] Apple. itunes store sets new record with 25 billion songs sold. URL: http://www.apple.com/pr/library/2013/02/06/iTunes-Store-Sets-New-Record-with-25-Billion-Songs-Sold.html, 2013. [Online; accessed 01-June-2013].

[3] Bandcamp. Artists – bandcamp. URL: https://bandcamp.com/artists, 2013. [Online; accessed 01-June-2013].

[4] S. Bostandjiev, J. O’Donovan, and T. Hollerer. Tasteweights: a visual interactive hybrid recommender system. In Proceedings of the sixth ACM conference on Recommender systems, RecSys ’12, pages 35-42, New York, NY, USA, 2012. ACM.

[5] M. Bostock. D3.js – data-driven documents. URL: http://d3js.org/, 2012. [Online; accessed 26-December-2012].

[6] M. Bostock. Hierarchical edge bundling. URL: http://bl.ocks.org/mbostock/1044242, 2013. [Online; accessed 05-June-2013].

[7] J. Brooke. Sus – a quick and dirty usability scale. URL: http://hell.meiert.org/core/pdf/sus.pdf, 1996. [Online; accessed 20-March-2013].

[8] R. Burke. Hybrid recommender systems: Survey and experiments. User Modeling and User-Adapted Interaction, 12(4):331-370, Nov. 2002.

[9] K. Dekimpe and B. Demoen. Fundamenten voor de informatica. URL: http://people.cs.kuleuven.be/~bart.demoen/FVI/fundamenten.pdf, 2007. [Online; accessed 9-February-2013].

[10] E. Duval. Chi: evaluation. URL: http://www.slideshare.net/erik.duval/chi-evaluation-11570071, 2012. [Online; accessed 20-February-2013].

[11] Google. Zoeken met afbeeldingen – inside search – google. URL: http://www.google.com/insidesearch/features/images/searchbyimage.html, 2011. [Online; accessed 8-February-2013].

[12] Google. Background pages – google chrome. URL: http://developer.chrome.com/extensions/background_pages.html, 2012. [Online; accessed 28-December-2012].

[13] Google. chrome.browseraction – google chrome. URL: http://developer.chrome.com/stable/extensions/browserAction.html, 2012. [Online; accessed 28-December-2012].

[14] Google. Formats: Manifest Files – google chrome. URL: http://developer.chrome.com/stable/extensions/manifest.html, 2012. [Online; accessed 28-December-2012].

[15] Google. Google chrome extensions. URL: http://developer.chrome.com/extensions/index.html, 2012. [Online; accessed 28-December-2012].

[16] Google. Overview – google chrome. URL: http://developer.chrome.com/extensions/overview.html, 2012. [Online; accessed 28-December-2012].

[17] L. Gou, F. You, J. Guo, L. Wu, and X. L. Zhang. Sfviz: interest-based friends exploration and recommendation in social networks. In Proceedings of the 2011 Visual Information Communication – International Symposium, VINCI ’11, pages 15:1-15:10, New York, NY, USA, 2011. ACM.

[18] B. Gretarsson, S. Bost, C. Hall, and T. Hollerer. Smallworlds: Visualizing social recommendations. Eurographics/ IEEE-VGTC Symposium on Visualization 2010, 2010.

[19] J. L. Herlocker, J. A. Konstan, and J. Riedl. Explaining collaborative Filtering recommendations. In Proceedings of the 2000 ACM conference on Computer supported cooperative work, CSCW ’00, pages 241-250, New York, NY, USA, 2000. ACM.

[20] J. L. Herlocker, J. A. Konstan, L. G. Terveen, and J. T. Riedl. Evaluating collaborative Filtering recommender systems. ACM Trans. Inf. Syst., 22(1):5{53, Jan. 2004.

[21] I. Herman, G. Melançon, and M. S. Marshall. Graph visualization and navigation in information visualization: A survey. IEEE Transactions on Visualization and Computer Graphics, 6(1):24{43, Jan. 2000.

[22] O. C. Herrada. Music recommendation and discovery in the long tail. URL: http://mtg.upf.edu/static/media/PhD_ocelma.pdf, 2008. [Online; accessed 26-April-2013].

[23] D. Holten. Hierarchical edge bundles: Visualization of adjacency relations in hierarchical data. IEEE Transactions on Visualization and Computer Graphics, 12(5):741-748, Sept. 2006.

[24] D. Holten and J. J. V. Wijk. Force-directed edge bundling for graph visualization, 2009.

[25] D. A. Keim. Information visualization and visual data mining. IEEE Transactions on Visualization and Computer Graphics, 8(1):1-8, Jan. 2002.

[26] J. Kirakowski. Questionnaires in usability engineering. URL: http://www.ucc.ie/hfrg/resources/qfaq1.html, 2000. [Online; accessed 20-February-2013].

[27] G. Klein, B. Moon, and R. R. Hoffman. Making sense of sensemaking 1: Alternative perspectives. IEEE Intelligent Systems, 21(4):70-73, July 2006.

[28] G. Klein, B. Moon, and R. R. Hoffman. Making sense of sensemaking 2: A macrocognitive model. IEEE Intelligent Systems, 21(5):88-92, Sept. 2006.

[29] V. Krebs. “2012 political book network”. URL: http://www.thenetworkthinkers.com/2012/10/2012-political-book-network.html, 2012. [Online; accessed 6-May-2013].

[30] KULeuven. “masterproef t313 : Visualisatie van muziekaanbevelingen”. URL: https://www.cs.kuleuven.be/cs/studenten/eindwerken/20122013/onderwerpen/individueel/T313.shtml, 2008. [Online; accessed 10-October-2012].

[31] Last.fm. Faq – last.fm. URL: http://www.last.fm/help/faq?category=99, 2012. [Online; accessed 13-May-2013].

[32] Last.fm. Last.fm – listen to internet radio and the largest music catalogue online. URL: http://www.last.fm/, 2012. [Online; accessed 28-November-2012].

[33] M. Levy and K. Bosteels. Music recommendation and the long tail. URL: http://womrad.org/2010/papers/1.pdf, 2008. [Online; accessed 26-April-2013].

[34] T. Li and M. Ogihara. Toward intelligent music information retrieval. Trans. Multi., 8(3):564-574, Sept. 2006.

[35] P. Melville, R. J. Mooney, and R. Nagarajan. Content-boosted collaborative Filtering for improved recommendations. In Eighteenth national conference on Artificial intelligence, pages 187{192, Menlo Park, CA, USA, 2002. American Association for Artificial Intelligence.

[36] Microsoft. Svg – internet explorer 9 guide for developers. URL: http://msdn.microsoft.com/en-us/ie/hh410107.aspx, 2012. [Online; accessed 26-December-2012].

[37] J. Nielsen. Usability Engineering. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 1993.

[38] J. Nielsen. Thinking aloud: The #1 usability tool. URL: http://www.nngroup.com/articles/thinking-aloud-the-1-usability-tool/, 2012. [Online; accessed 20-February-2013].

[39] J. Nielsen. Why you only need to test with 5 users. URL: http://www.nngroup.com/articles/why-you-only-need-to-test-with-5-users/, 2012. [Online; accessed 20-February-2013].

[40] C. North. Toward measuring visualization insight. IEEE Comput. Graph. Appl., 26(3):6-9, May 2006.

[41] J. O’Donovan, B. Smyth, B. Gretarsson, S. Bostandjiev, and T. Höllerer. Peerchooser: visual interactive recommendation. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI ’08, pages 1085{1088, New York, NY, USA, 2008. ACM.

[42] M. J. Pazzani and D. Billsus. The adaptive web. In P. Brusilovsky, A. Kobsa, and W. Nejdl, editors, The adaptive web, chapter Content-based recommendation systems, pages 325{341. Springer-Verlag, Berlin, Heidelberg, 2007.

[43] A. Rajaraman, J. Leskovec, and J. Ullman. Mining of Massive Datasets. Cambridge University Press, 2012.

[44] J. Sauro. Measuring usability with the system usability scale (sus). URL: http://www.measuringusability.com/sus.php, 2011. [Online; accessed 20-February-2013].

[45] G. Shani and A. Gunawardana. Evaluating recommendation systems. In F. Ricci, L. Rokach, B. Shapira, and P. B. Kantor, editors, Recommender Systems Handbook, pages 257-297. Springer US, 2011.

[46] P. Shirley and S. Marschner. Fundamentals of Computer Graphics. A. K. Peters, Ltd., Natick, MA, USA, 3rd edition, 2009.

[47] C. Snyder. Paper Prototyping: The Fast and Easy Way to Design and Refine User Interfaces (Interactive Technologies). Morgan Kaufmann, 1st edition, 2003.

[48] C. Snyder. What is paper prototyping. URL: http://www.paperprototyping.com/what.html, 2003. [Online; accessed 10-February-2013].

[49] Y. Song, S. Dixon, and M. Pearce. “a survey of music recommendation systems and future perspectives”. URL: http://www.eecs.qmul.ac.uk/~yadings/papers/song2012a.pdf, 2012. [Online; accessed 02-June-2013].

[50] J. Steele and N. Iliinsky. Beautiful Visualization: Looking at Data through the Eyes of Experts. O’Reilly Media, Inc., 1st edition, 2010.

[51] The jQuery Foundation. jquery. URL: http://jquery.com, 2013. [Online; accessed13-May-2013].

[52] The jQuery Foundation. jquery. URL: http://jqueryui.com, 2013. [Online; accessed 13-May-2013].

[53] N. Tintarev and J. Masthoff. A survey of explanations in recommender systems. In Proceedings of the 2007 IEEE 23rd International Conference on Data Engineering Workshop, ICDEW ’07, pages 801{810, Washington, DC, USA, 2007. IEEE Computer Society.

[54] G. Tzanetakis and P. Cook. Musical genre classification of audio signals. IEEE Transactions on Speech and Audio Processing, 10(5), 2002.

[55] UsabilityNet. Usabilitynet: International standards. URL: http://www.usabilitynet.org/tools/r_international.htm#9241-11, 2006. [Online; accessed
20-February-2013].

[56] K. Verbert, H. Drachsler, N. Manouselis, M. Wolpers, R. Vuorikari, and E. Duval. Dataset-driven research for improving recommender systems for learning. In Proceedings of the 1st International Conference on Learning Analytics and Knowledge, LAK ’11, pages 44{53, New York, NY, USA, 2011. ACM.

[57] C. Ware. Information Visualization: Perception for Design. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 2004.

[58] Wikipedia. Last.fm – wikipedia, the free encyclopedia. URL: http://en.wikipedia.org/wiki/Last.fm#Recommendations, 2013. [Online; accessed 26-November-2012].

[59] World Wide Web Consortium (W3C). Implementations – svg. URL: http://www.w3.org/Graphics/SVG/WG/wiki/Implementations, 2010. [Online; accessed 26-
December-2012].

[60] World Wide Web Consortium (W3C). Scalable vector graphics (svg) 1.1 (second edition). URL: http://www.w3.org/TR/SVG/, 2011. [Online; accessed 26-December-2012].

[61] J. S. Yi, Y.-a. Kang, J. T. Stasko, and J. A. Jacko. Understanding and characterizing insights: how do people gain insights using information visualization? In Proceedings of the 2008 Workshop on BEyond time and errors: novel evaLuation methods for Information Visualization, BELIV ’08, pages 4:1-4:6, New York, NY, USA, 2008. ACM.

[62] S. Zhao, M. X. Zhou, Q. Yuan, X. Zhang, W. Zheng, and R. Fu. Who is talking about what: social map-based recommendation for content-centric social websites. In Proceedings of the fourth ACM conference on Recommender systems, RecSys ’10, pages 143-150, New York, NY, USA, 2010. ACM.