Visualization of Music Suggestions - Status Update

Visualization of music suggestions

Promotor: Erik Duval, Joris KlerkxSupervisor: Joris Klerkx

KULeuven - Visualization of music suggestions - Joris Schelfaut

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Timeline

October: problem definition

November: literature study

December: prototype

January: evaluate and implement

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KULeuven - Visualization of music suggestions - Joris Schelfaut

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1 Problem definition

• The Herlocker paper: “Explaining Collaborative Filtering Recommendations”– Recommender systems– Collaborative filtering

Black boxExplanation system (white box)

KULeuven - Visualization of music suggestions - Joris Schelfaut

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2 Literature study

• Many examples of (visual) explanation systems

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3 PrototypeFirst attempt at a paper prototype

Idea: items that occur together in one profile share a link, i.e. the profile

KULeuven - Visualization of music suggestions - Joris Schelfaut

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4 Implementation

Experimenting with chrome extensions and D3.js

Visualization ofUser profiles

KULeuven - Visualization of music suggestions - Joris Schelfaut

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Problem

• No real background on fundamental concepts Additional literature required

KULeuven - Visualization of music suggestions - Joris Schelfaut

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Timeline

February: literature study part 2

March: re-evaluating and testing the prototype (paper / digital)

April: completing and evaluating implemented application

May: finishing thesis text

KULeuven - Visualization of music suggestions - Joris Schelfaut

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5 Literature study part 2

• (Recommender systems)• Insight gaining• Visualization– Principles / techniques– Graph based

• (Evaluation techniques)

KULeuven - Visualization of music suggestions - Joris Schelfaut

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6 Prototype > paper

Template used for theprototype screens

KULeuven - Visualization of music suggestions - Joris Schelfaut

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6 Prototype > paper evaluation

• Main questions:1. Can a user figure out what the visualization

means?2. Can a user use the visualization to make

estimates about the reliability of suggestions?Tasks + think aloud protocol• SUS test

KULeuven - Visualization of music suggestions - Joris Schelfaut

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6 Prototype > paper results

• Short answers:1. Yes;2. Yes.

• SUS:– 5 test users– 77 avg from 65, 85, 85, 75, 75– Would you use it? 2 say no, 3 say yes

• Remarks– Textual help

KULeuven - Visualization of music suggestions - Joris Schelfaut

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6 Prototype > digital

Visualization D3.jsusing a static JSON as input

KULeuven - Visualization of music suggestions - Joris Schelfaut

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7 Implementation

Last.fm/API Servlet / google appengine

JavaScript / SVGChrome extension

JSONJSON

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Info / References

Blog:http://soundsuggest.wordpress.com

GitHub:https://github.com/soundsuggest/