A Federated Search and Social Recommendation Widget

1. A FEDERATED SEARCH AND SOCIAL RECOMMENDATION WIDGET Sten Govaerts, Sandy El Helou, Erik Duval and Denis Gillet. Saturday 19 March 2011

2. WHAT’S A WIDGET ?!? Saturday 19 March 2011

7. CONTEXT • Personal Learning Environment: • customizable • re-use, creation & mashup of tools, resources • enable users to access content • in different contexts Saturday 19 March 2011

10. ARCHITECTURE Saturday 19 March 2011

20. DEMO... Saturday 19 March 2011

24. PAGE RANK HYPERLINK WEB SITE Rank of node i: A node is important if and only if many other important nodes point to it Saturday 19 March 2011

25. OUR CASE hare d R1 d /s save saved/shared d en tion Sten R2 fr i e c dis n like c on d lik ed R3 d n Sandy ien ctio fr e c on n lik ed R4 Erik R5 Saturday 19 March 2011

26. NOW FOR MULTI-DIRECTIONAL, PERSONALIZED & CONTEXTUAL RANKING A node is important to a particular set of nodes (representing the target user and the context) if and only if many important nodes connected to this root set, via important relation types, point to it Saturday 19 March 2011

27. EVALUATION • 15 PhD students at K.U. Leuven and EPFL. • What? • usability • user satisfaction • usefulness Saturday 19 March 2011

28. FIRST PHASE • current media search tool: Google & YouTube • understanding recommendations: 6/15 from like/dislike Saturday 19 March 2011

35. SECOND PHASE Saturday 19 March 2011

36. SECOND PHASE • only 14 participants (one less) • open questions • usefulness of recommendations: 11/14 pro. • user satisfaction: System Usability Scale (SUS) & MS Desirability Toolkit • SUS score: 66,25% •2 groups Saturday 19 March 2011

37. SECOND PHASE • only 14 participants (one less) • open questions • usefulness of recommendations: 11/14 pro. • user satisfaction: System Usability Scale (SUS) & MS Desirability Toolkit • SUS score: 66,25% •2 K.U. Leuven: high (75%) groups EPFL + one K.U.Leuven: low (50%) Saturday 19 March 2011

38. WHY THE DIFFERENT SUS? • 1st phase by 2 interviewers Saturday 19 March 2011

41. WHY THE DIFFERENT SUS? • issues: • distracts of unrelated widget’s UI updates. • layout too dense • height of widgets too small • KULeuven student had prior experience with iGoogle. • not evaluating the widget but the whole experience... Saturday 19 March 2011

42. DESIRABILITY... Saturday 19 March 2011

55. RECOMMENDATIONS EVALUATION • compare recommendations to their favourite tool: Google •2 groups with different queries Saturday 19 March 2011

56. RECOMMENDATIONS EVALUATION • compare recommendations to their favourite tool: Google •2 groups with different queries # relevant items returned Precision = # total items returned Saturday 19 March 2011

57. RECOMMENDATIONS EVALUATION • compare recommendations to their favourite tool: Google •2 groups with different queries Precision # relevant items returned in top N list = at N # total items returned Saturday 19 March 2011

58. RECOMMENDATIONS EVALUATION • compare recommendations to their favourite tool: Google •2 groups with different queries Precision # relevant items returned in top N list = at N # total items returned • Google: more relevant results • Google: avg. prec. at 10 = 65% • widget: avg. prec. at 10 = 50% Saturday 19 March 2011

59. RECOMMENDATIONS EVALUATION • compare recommendations to their favourite tool: Google •2 groups with different queries Precision # relevant items returned in top N list = at N # total items returned • Google: more relevant results • Google: avg. prec. at 10 = 65% less variation • widget: avg. prec. at 10 = 50% in results Saturday 19 March 2011

60. FIXES... Saturday 19 March 2011

64. FUTURE WORK • evaluation in larger scale real-world situation (university + business) • evaluate user satisfaction of widget and not container • evaluate the recommendations further (based on use). • make recommendations transparent Saturday 19 March 2011

65. MORE VISUAL SEARCH... Saturday 19 March 2011

66. THANK YOU! QUESTIONS?... Saturday 19 March 2011

A Federated Search and Social Recommendation Widget

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