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Visualization of Music Suggestions - Literature Study and Application Idea
 

Visualization of Music Suggestions - Literature Study and Application Idea

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Visualization of music suggestions is the subject of my thesis. For more information consult http://soundsuggest.wordpress.com/ ...

Visualization of music suggestions is the subject of my thesis. For more information consult http://soundsuggest.wordpress.com/
This presentation is an updated version of the original one given on the 21st of November 2012.

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    Visualization of Music Suggestions - Literature Study and Application Idea Visualization of Music Suggestions - Literature Study and Application Idea Presentation Transcript

    • Visualization of music suggestionsPromotor: Erik Duval, Katrien VerbertSupervisor: Katrien Verbert
    • OverviewI. BackgroundII. IssuesIII. Related workIV. ObjectiveV. Prototype KUL Masterproef - Visualization of music11/21/2012 2 suggestions
    • OverviewI. BackgroundII. IssuesIII. Related workIV. ObjectiveV. Prototype KUL Masterproef - Visualization of music11/21/2012 3 suggestions
    • I. Background• Recommender system – Automated suggestion generation – Strategies: • Content-based • Collaborative • Hybrid KUL Masterproef - Visualization of music11/21/2012 4 suggestions
    • I. Background Content-based Filtering KUL Masterproef - Visualization of music11/21/2012 5 suggestions
    • I. Background Content-based Filtering KUL Masterproef - Visualization of music11/21/2012 6 suggestions
    • I. Background Content-based Filtering KUL Masterproef - Visualization of music11/21/2012 7 suggestions
    • I. Background Collaborative Filtering KUL Masterproef - Visualization of music11/21/2012 8 suggestions
    • I. Background Collaborative Filtering KUL Masterproef - Visualization of music11/21/2012 9 suggestions
    • I. Background Hybrid Filtering KUL Masterproef - Visualization of music11/21/2012 10 suggestions
    • OverviewI. BackgroundII. IssuesIII. Related workIV. ObjectiveV. Prototype KUL Masterproef - Visualization of music11/21/2012 11 suggestions
    • II. Issues• Cold start: – New users – New items – Unsufficient data KUL Masterproef - Visualization of music11/21/2012 12 suggestions
    • II. Issues• Trust KUL Masterproef - Visualization of music11/21/2012 13 suggestions
    • II. Issues• Comparison performance KUL Masterproef - Visualization of music11/21/2012 14 suggestions
    • II. Issues• Provide the user with feedback – Estimated accuracy (confidence) – Insight into recommendation process – Steering the recommendation process (control) KUL Masterproef - Visualization of music11/21/2012 15 suggestions
    • II. Issues ?• Provide the user with feedback – Estimated accuracy (confidence) – Insight into recommendation process  Through visualization – Steering the recommendation process (control)  Through interaction KUL Masterproef - Visualization of music11/21/2012 16 suggestions
    • OverviewI. BackgroundII. IssuesIII. Related workIV. ObjectiveV. Prototype KUL Masterproef - Visualization of music11/21/2012 17 suggestions
    • III. Related work KUL Masterproef - Visualization of music11/21/2012 18 suggestions
    • III. Related work• Smallworlds – ACF – FB API KUL Masterproef - Visualization of music11/21/2012 19 suggestions
    • III. Related work• Tasteweights – Hybrid – Wiki – Twitter – FB KUL Masterproef - Visualization of music11/21/2012 20 suggestions
    • OverviewI. BackgroundII. IssuesIII. Related workIV. ObjectiveV. Prototype KUL Masterproef - Visualization of music11/21/2012 21 suggestions
    • VI. Objective• Designing, building and evaluating an explanation system for a certain dataset with a given recommender strategy – Using visualization – Using interaction KUL Masterproef - Visualization of music11/21/2012 22 suggestions
    • VI. Objective• Focus: – User insight – User interaction – Item discovery – Visualizations KUL Masterproef - Visualization of music11/21/2012 23 suggestions
    • VI. Objective• User insight: – Into who his/her neighbors are and why they are his neighbors through visualization; – Into which items are recommended to him/her and why; KUL Masterproef - Visualization of music11/21/2012 24 suggestions
    • VI. Objective• User interaction: – A user must be able to steer the recommendation process through user-interaction; KUL Masterproef - Visualization of music11/21/2012 25 suggestions
    • VI. Objective• Item discovery: – A user is aided in looking for new items through visualization; – A user is aided in looking for similar users through visualization; KUL Masterproef - Visualization of music11/21/2012 26 suggestions
    • VI. Objective• Visualizations: – Must be elegant and direct; – Must be a UI element that supports a user in using an application, rather than be an application by itself, therefore an important aspect is one of re- usability and scalability; KUL Masterproef - Visualization of music11/21/2012 27 suggestions
    • OverviewI. BackgroundII. IssuesIII. Related workIV. ObjectiveV. Prototype KUL Masterproef - Visualization of music11/21/2012 28 suggestions
    • V. Prototype• Technology: – Google Chrome extension – Last.fm API – JavaScript KUL Masterproef - Visualization of music11/21/2012 29 suggestions
    • V. Prototype• Visualization: graph – Nodes: artists – Edges: users that have the artists connected by the edge in their profile KUL Masterproef - Visualization of music11/21/2012 30 suggestions
    • V. Prototype KUL Masterproef - Visualization of music11/21/2012 31 suggestions
    • V. Prototype KUL Masterproef - Visualization of music11/21/2012 32 suggestions
    • V. Prototype KUL Masterproef - Visualization of music11/21/2012 33 suggestions
    • OverviewI. BackgroundII. IssuesIII. Related workIV. ObjectiveV. Prototype KUL Masterproef - Visualization of music11/21/2012 34 suggestions
    • Questions KUL Masterproef - Visualization of music11/21/2012 35 suggestions