research-article

An interactive exploratory search system for on-line apparel shopping

Authors:

Eriko Koike,

Takayuki ItohAuthors Info & Claims

VINCI '15: Proceedings of the 8th International Symposium on Visual Information Communication and Interaction

Pages 103 - 108

https://doi.org/10.1145/2801040.2801041

Published: 24 August 2015 Publication History

Get Access

Abstract

Many people (especially women) tend to take relatively longer time for shopping. This paper presents a system for product retrieval inspired by psychology of women's shopping activity, and an implementation of the system for apparel products. Our study supposes products which pre-defined keywords are assigned, and prepares icons representing the combination of the keywords. The system intuitively displays various icons in a display space to demonstrate the diversity of the products. When a user selects an interested icon, the system switches the display to a set of images corresponding to the selected icon, so that the user can visually compare the similar products. The system also features user interfaces to input the preference of users, and reflects the input to the evolutionary computation which adjusts the selection of icons to their preferences. It acts real shopping behavior because we often firstly look over the shops to understand the diversity of products, and then close up the particular groups of the products. This paper introduces an experiment which demonstrates the preferable assistance of the shopping behavior of women who are interested in various products.

References

[1]

J. S. Breese, D. Heckerman, C. Kadir, Empirical analysis of predictive algorithms for collaborative filtering, Uncertainty in Artificial Intelligence, 43--52, 1998.

Digital Library

Google Scholar

[2]

J.-D. Fekete, C. Plaisant, Excentric labeling; dynamic neighborhood labeling for data visualization, SIGCHI conference on Human Factors in Computer Systems, 512--519, 1999.

Digital Library

Google Scholar

[3]

T, Hiroyasu, H. Yokouchi, M. Tanaka, M. Miki, Extraction of design variables using collaborative filtering for interactive genetic algorithms, IEEE International Conference on Fuzzy Systems, 1579--1584, 2009.

Google Scholar

[4]

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, 121--128, 2009.

Digital Library

Google Scholar

[5]

B. Johnson, B. Shneiderman, Tree-maps: a space-filling approach to the visualization of hierarchical information structures, IEEE Visualization, 284--291, 1991.

Digital Library

Google Scholar

[6]

K.-J. Kim, H. Ahn, A recommender system using GA K-means clustering in an online shopping market, Expert Systems with Applications, 34(2), 1200--1209, 2008.

Digital Library

Google Scholar

[7]

G. Linden, B. Smith, J. York, Amazon.com recommendations: item-to-item collaborative filtering, IEEE Internet Computing, Vol. 7, No. 1, p.76, 2003.

Digital Library

Google Scholar

[8]

H. Oda, Why women take a long time for shopping?, ISBN-978-4-569-69428-3, 2007.

Google Scholar

[9]

Y. Saito, T. Itoh, MusiCube: a visual music recommendation system featuring interactive evolutionary computing, Visual Information Communication - Information Symposium (VINCI'11), 2011.

Digital Library

Google Scholar

[10]

G. Saltom, The SMART retrieval system - experiments in automatic document processing, Prentice-Hall, 1971.

Digital Library

Google Scholar

[11]

V. Setlur, C. Albrecht-Buehler, A. Gooch, S. Rosoff, B. Gooch, Semanticons: Visual Metaphors as File Icons, Computer Graphics Forum, 24(3), 647--656, 2005.

Crossref

Google Scholar

[12]

R. Yong, T. S. Huang, M. Ortega, S. Mehrotra, Relevance feedback: a power tool for interactive content-based image retrieval, IEEE Transactions on Circuits and Systems for Video Technology, 8(5), 644--655, 1998.

Digital Library

Google Scholar

[13]

L. Zhou, L. Dai, D. Zhang, Online shopping acceptance model - a critical survey of customer factors in online shopping, Journal of Electronic Commerce Research, 8(1), 41--62, 2007.

Google Scholar

Cited By

View all

Wang YSeaborn K(2024)Kawaii Computing: Scoping Out the Japanese Notion of Cute in User Experiences with Interactive SystemsExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3651001(1-9)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3651001
Nesterenko AIanina A(2022)Learning to Rank with Capsule Neural NetworksAnalysis of Images, Social Networks and Texts10.1007/978-3-031-16500-9_10(110-123)Online publication date: 2-Nov-2022
https://doi.org/10.1007/978-3-031-16500-9_10
Koike EItoh T(2015)An exploratory apparel product search interface adopting shopping psychologyThe Journal of the Society for Art and Science10.3756/artsci.14.17014:5(170-179)Online publication date: 6-Nov-2015
https://doi.org/10.3756/artsci.14.170

Index Terms

An interactive exploratory search system for on-line apparel shopping

Recommendations

Directing exploratory search with interactive intent modeling
CIKM '13: Proceedings of the 22nd ACM international conference on Information & Knowledge Management

We introduce interactive intent modeling, where the user directs exploratory search by providing feedback for estimates of search intents. The estimated intents are visualized for interaction on an Intent Radar, a novel visual interface that organizes ...
Visual interfaces for stimulating exploratory search
JCDL '11: Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries

Exploration is an activity that people undertake to broaden their knowledge on a certain topic. In contrast to regular search, which is typically aimed at obtaining a specific answer to a specific question, exploratory search should give a more complete ...
Collaborative multi-paradigm exploratory search
WebScience '08: Proceedings of the hypertext 2008 workshop on Collaboration and collective intelligence

New challenges for advanced web search interfaces and visualization tools arise as user needs shift from traditional lookup tasks towards more open ended search activities collectively described as exploratory search. Exploratory search opens new ...

Comments

Information & Contributors

Information

Published In

VINCI '15: Proceedings of the 8th International Symposium on Visual Information Communication and Interaction

August 2015

185 pages

ISBN:9781450334822

DOI:10.1145/2801040

General Chair:
Takayuki Itoh,
Program Chairs:
Paolo Bottoni,
Shigeo Takahashi

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 August 2015

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed limited

Conference

VINCI '15

VINCI '15: The 8th International Symposium on Visual Information Communication and Interaction

August 24 - 26, 2015

AA, Tokyo, Japan

Acceptance Rates

VINCI '15 Paper Acceptance Rate 12 of 32 submissions, 38%;

Overall Acceptance Rate 71 of 193 submissions, 37%

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

3
Total Citations
View Citations
86
Total Downloads

Downloads (Last 12 months)3
Downloads (Last 6 weeks)0

Reflects downloads up to 05 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Wang YSeaborn K(2024)Kawaii Computing: Scoping Out the Japanese Notion of Cute in User Experiences with Interactive SystemsExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3651001(1-9)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3651001
Nesterenko AIanina A(2022)Learning to Rank with Capsule Neural NetworksAnalysis of Images, Social Networks and Texts10.1007/978-3-031-16500-9_10(110-123)Online publication date: 2-Nov-2022
https://doi.org/10.1007/978-3-031-16500-9_10
Koike EItoh T(2015)An exploratory apparel product search interface adopting shopping psychologyThe Journal of the Society for Art and Science10.3756/artsci.14.17014:5(170-179)Online publication date: 6-Nov-2015
https://doi.org/10.3756/artsci.14.170

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Cited By

Index Terms

Recommendations

Directing exploratory search with interactive intent modeling

Visual interfaces for stimulating exploratory search

Collaborative multi-paradigm exploratory search

Comments

Information

Published In

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations