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MARTIJN KAGIE Advances in Online Sh
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Advances in Online Shopping Interfa
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Preface Many prefaces of doctoral d
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viii CONTENTS 3.2 Related Work . .
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Chapter 1 Introduction Over the pas
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1.1 Product Catalog Maps 3 product
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1.2 Recommender Systems 5 Table 1.2
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1.2 Recommender Systems 7 Figure 1.
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1.3 Overview of this Thesis 9 using
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Chapter 2 Map Based Visualization o
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2.2 Methods for Map Based Visualiza
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2.3 Product Catalog Maps 21 Figure
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2.3 Product Catalog Maps 23 should
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2.4 Determining Attribute Weights u
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2.5 E-Commerce Applications 27 of c
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2.5 E-Commerce Applications 29 Tabl
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2.5 E-Commerce Applications 31 Phil
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2.5 E-Commerce Applications 33 The
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2.6 Summary, Conclusions, and Outlo
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Chapter 3 A Graphical Shopping Inte
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3.2 Related Work 39 • Content-bas
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3.3 Methodology 41 implying that ob
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3.5 Graphical Shopping Interface 43
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3.5 Graphical Shopping Interface 45
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3.6 A Prototype Application to MP3
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3.6 A Prototype Application to MP3
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3.7 Evaluation of the Graphical Sho
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3.8 Conclusions and Discussion 57 t
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Chapter 4 Determination of Attribut
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4.2 The Use of Dissimilarities in R
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4.3 Determining Attribute Weights 6
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4.4 Determining Weights for Four Re
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4.5 Clickstream Evaluation 73 Table
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4.5 Clickstream Evaluation 75 compu
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4.6 User Experiment 77 Table 4.4: p
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4.6 User Experiment 79 Table 4.5: R
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4.7 Summary, Conclusions & Discussi
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4.B Derivation of PoissonTreeBoost
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Chapter 5 Including Item Characteri
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5.2 Recommender Systems 87 experime
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5.3 Models 89 u z y (a) v Figure 5.
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5.3 Models 91 This function is fair
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5.3 Models 93 we can estimate user
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5.3 Models 95 where xy is a vector
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5.4 Data 97 standard deviation v
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Table 5.1: Item Characteristics of
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5.5 Experiments & Results 101 Figur
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5.5 Experiments & Results 103 Figur
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5.5 Experiments & Results 105 Table
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5.6 Conclusions 107 data. In an exp
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Chapter 6 Multidimensional Scaling
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6.2 MDS by Iterative Majorization 1
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6.3 Sparse Data 115 procedure SMACO
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6.3 Sparse Data 117 When using this
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6.4 Large Scale MDS 119 Figure 6.4:
Page 132 and 133: 6.5 Choosing Dissimilarity Measures
Page 134 and 135: 6.5 Choosing Dissimilarity Measures
Page 136 and 137: 6.6 Applications 125 6.6 Applicatio
Page 138 and 139: 6.6 Applications 127 Figure 6.11: H
Page 140 and 141: 6.7 Conclusions 129 Distance Dissim
Page 142 and 143: 6.7 Conclusions 131 Figure 6.14: Pa
Page 144 and 145: Chapter 7 Discussion In this chapte
Page 146 and 147: 7.2 Directions for Future Research
Page 148: 7.2 Directions for Future Research
Page 151 and 152: 140 Summary in Dutch beide winkelom
Page 154 and 155: Bibliography Adomavicius, G., & Tuz
Page 156 and 157: Bibliography 145 User evaluations o
Page 158 and 159: Bibliography 147 Gower, J. C. (1971
Page 160 and 161: Bibliography 149 95(1), 49-69. Koho
Page 162 and 163: Bibliography 151 recommendation. In
Page 164: Bibliography 153 Menlo Park, CA, US
Page 167 and 168: 156 Author Index Friedman, J. H., 3
Page 169 and 170: 158 Author Index Schwab, I., 62, 15
Page 172 and 173: Curriculum Vitae Martijn Kagie (198
Page 174 and 175: Bispo, A., Labour Market Segmentati
Page 176 and 177: Gertsen, H.F.M., Riding a Tiger wit
Page 178 and 179: Jong, C. de, Dealing with Derivativ
Page 180 and 181: Meer, J.R. van der, Operational Con
Page 184 and 185: Tims, B., Empirical Studies on Exch
Page 186: Erasmus Research Institute of Manag
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