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こうたさんきち
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1 DEIM Forum 2013 D Exploratory Search A product Search System for women adjusting amount of browsed items Abstract Eriko KOIKE, Takayuki ITOH, and Chiemi WATANABE Department of Information Science,Faculty of Science, Ochanomizu University Otsuka, Bunkyo-ku, Tokyo, Japan {aco,itot}@itolab.is.ocha.ac.jp, [email protected] Women take relatively longer time for shopping comparing with men. This paper presents a system for product retrieval and recommendation based on psychology of women s shopping activity, and an implementation of the system for apparel products. This system supposes products which pre-defined keywords are assigned, and icons representing the combination of the keywords. It acts real shopping behavior by displaying a set of the icons associated to the products. The system intuitively display the distribution of products by closely placing the icons sharing common keywords. Also, it features a product recommendation technique based on user interfaces for elimination and narrow down operations, and evolutionary computation which adjusts the amount of recommendation. The system well assists the shopping behavior of women who are interested in various products. Key words Women s buying behavior model Exploratory Search Interactive genetic algorithm Visualization 1. [1] 1

2 1: 2: 3: 4: 2. 1 Exploratory Search [4] Exploratory Search 2. 1 [7] [8] [9] [10] Exploratory Search

2. 2 Exploratory Search BlogoPolice [5] TopHatenar 20 3D FRUITE Net [ 1] [ 2] [ 3] [ 4] Blogopolis FRUITS Net 3.2 3.

3 2. 2 Exploratory Search BlogoPolice [5] TopHatenar 20 3D FRUITE Net [ 1] [ 2] [ 3] [ 4] Blogopolis FRUITS Net BlogoPolice [5] 2. 3 MusicCube [3] 2. 4 FRUITS Net FRUITS Net(Framework and User Interface for Tangled Segments Network) [2] 1 FRUITS Net T

4 ( ) 5( ) FRUITSNet [2] FRUITS Net [ 1][ 2] FRUITS Net [ 3] 5 ( ) 1 ( ) 1 MAGASEEK 2 MAGASEEK( Submit Search

1 Q m m Search D m m + 3. 4 Dm m Search Q m = Q m 1 + d + D m + d + d Dm d Step4: T Step5: n: x: Step6: t T d = {d 1,..., d n}: j d j = 1 d j = 0 Q = {q 1,.

5 1 Q m m Search D m m Dm m Search Q m = Q m 1 + d + D m + d + d Dm d Step4: T Step5: n: x: Step6: t T d = {d 1,..., d n}: j d j = 1 d j = 0 Q = {q 1,..., q n}: Search k Q Q k A x S T Step1 Step6 Search 1 t d i = 0 q i i 2 k 3 t d i = 1 k j d j = 0 d k = 1 d m 4 S 5 (2) (4) 6 (1) (5) Step0: Q 0 S 7 Q 0 S S S Step1: T A S x A A x S x x Step2: A Step3: Rocchio [6] 7

6 ,, Vol. 11, No. 1, pp , [1] PHP ISBN , [2] T. Itoh, C. Muelder, K.-L. Ma, J. Sese, A Hybrid Space- Filling and Force-Directed Layout Method for Visualizing Multiple-Category Graphs, IEEE Pacific Visualization Symposium, , [3] Y. Saito, T. Itoh, MusiCube: A Visual Music Recommendation System featuring Interactive Evolutionary Computing, Visual Information Communication - Information Symposium (VINCI 11), [4] R. W. White, R. A. Roth, Exploratory Search: Beyond the Query-Response Paradigm, Synthesis Lectures on Information Concepts, Retrieval, and Services, Vol. 1, No. 1, pp. 1-98, [5] BlogoPolice, [6] G. Saltom, The SMART retrieval system - experiments in automatic document processing, Prentice-Hall, [7] G. Linden, B. Smith, J. York, Amazon.com recommendations: item-to-item collaborative filtering, IEEE Internet Computing,Vol. 7 No. 1, p.76, [8],, et al.,, Vol. 50, No. 2, pp , [9],,,,,,,, Vol. 106(279), pp , [10],,,,,

Microsoft Word - deim2011_new-ichinose-20110325.doc

Microsoft Word - deim2011_new-ichinose-20110325.doc DEIM Forum 2011 B7-4 252-0882 5322 E-mail: {t08099ai, kurabaya, kiyoki}@sfc.keio.ac.jp A Music Search Database System with a Selector for Impressive-Sections of Continuous Data Aya ICHINOSE Shuichi KURABAYASHI