visual innovations for product search interfaces

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1st International Workshop on Future Search Engines - INFORMATIK 2014 Visual Innovations for Product Search Interfaces MON, 22 SEP 2014 - Stuttgart Chair of Media Design Technische Universität Dresden This work has been supported by the European Union and the Free State Saxony through the European Regional Development Fund Mandy Keck

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presentation @ 1st International Workshop on Future Search Engines at INFORMATIK 2014, September 22, 2014, Stuttgart (Germany) Keck, M., Herrmann, M., Henkens, D., Taranko, S., Nguyen, V., Funke, F., Schattenberg, S., Both, A., Groh, R.: Visual Innovations for Product Search Interfaces, 1st International Workshop on Future Search Engines at INFORMATIK 2014, 2014 http://visea-project.de/

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Page 1: Visual Innovations for Product Search Interfaces

1st International Workshop on Future Search Engines - INFORMATIK 2014

Visual Innovations for Product Search InterfacesMON, 22 SEP 2014 - Stuttgart

Chair of Media Design

Technische Universität Dresden

This work has been supported by the European Union and the Free State Saxony through the European Regional Development Fund

Mandy Keck

Page 2: Visual Innovations for Product Search Interfaces

Introduction

_ research project »VISEA - Visual Search Interfaces« _ focus: visual interfaces for product search _ use case: travel search + financial search

Problem: _ vague information need has to be transformed into a specific search query (Dörk et al. 2012)

Our Objective: _ supporting vague feelings and ideas in the process of information seeking

_ providing alternative visual approaches for product search besides the established keyword search paradigm

Fig. 01 TRAVEL SEARCH INTERFACE: WWW.OPODO.COM

Fig. 02 SEARCH INTERFACE FOR FINANCIAL PRODUCTS:

WWW.BOERSE-STUTTGART.DE

Page 3: Visual Innovations for Product Search Interfaces

INFORMATIK 2014 - FoRESEE Workshop 22 Sep 2014 Visual Innovations for Product Search Interfaces 3 | 11

Motive-based Search

Motive: _ cause of search, specifies some general conditions _ influenced by emotions and interests of the user

NAVIGATIONALSEARCHING

TRANSACTIONALSEARCHING

INFORMATIONALSEARCHING

reaching a particular site performing a certain transaction acquisition of information

MOTIVE-BASED SEARCH

LOOKUP

EXPLORATORYSEARCH

known-item-search,fact-finding, verification

knowledge acquisition,discovery, comparison

vague information need (motive),aim: finding a suitable product

Fig. 03 MOTIVE-BASED SEARCH IN CONTEXT OF SEARCH ACTIVITIES (CF. MARCHIONINI 2006, WHITE 2009) AND WEB SEARCH INTENTION (CF. BRODER 2002, JANSEN 2008)

Page 4: Visual Innovations for Product Search Interfaces

INFORMATIK 2014 - FoRESEE Workshop 22 Sep 2014 Visual Innovations for Product Search Interfaces 4 | 11

Search Paradigms

TUNKELANG 2006:

Direct Search _ allows users to simply write queries in a text box

Navigational Search _ provide guidance through the use of taxonomies

Clemmer & Davis 2011:

General to Specific _ use abstract criteria to progressively narrow down the result set to the desired set of answers

Specific to General _ starts with an example _ can be generalized to find similar results

GERNERAL TO SPECIFIC SPECIFIC TO GENERAL

NAV

IGAT

ION

AL S

EARC

HDI

RECT

SEA

RCH

FACETED SEARCH

FACETED BROWSINGFLICKR

GOOGLE IMAGESEARCH

LAST.FM

RETRIEVR

Page 5: Visual Innovations for Product Search Interfaces

INFORMATIK 2014 - FoRESEE Workshop 22 Sep 2014 Visual Innovations for Product Search Interfaces 5 | 11

Visual Exploration System for Product Searches

Recommendation-based Search Approach: _ hides complex data strcuture of the search system _ leads to a small result set in a few steps

Analytical Approach: _ provides a deep insight into the data structure _ enables evaluation of the chosen product in comparison to the remaining information space

Seach by Example Approach: _ support users with little knowledge of the search domain _ goal: familiarizing with product features, finding of similar products

Page 6: Visual Innovations for Product Search Interfaces

INFORMATIK 2014 - FoRESEE Workshop 22 Sep 2014 Visual Innovations for Product Search Interfaces 6 | 11

Recommendation-based Search Approach

‚getInspired‘ interface for travel search: triggers emotionally driven decisions

Page 7: Visual Innovations for Product Search Interfaces

INFORMATIK 2014 - FoRESEE Workshop 22 Sep 2014 Visual Innovations for Product Search Interfaces 7 | 11

Analytical Approach based on Parallel Coordinates

analytical interface for multidimensional finanical data

Page 8: Visual Innovations for Product Search Interfaces

INFORMATIK 2014 - FoRESEE Workshop 22 Sep 2014 Visual Innovations for Product Search Interfaces 8 | 11

Analytical Approach based on Parallel Sets

analytical interface for travel search

Page 9: Visual Innovations for Product Search Interfaces

INFORMATIK 2014 - FoRESEE Workshop 22 Sep 2014 Visual Innovations for Product Search Interfaces 9 | 11

Search by Example Approach

Prod

uktg

rupp

eBa

sisw

ert

Zins

Rohstoff

Währung

Aktie

Wert

Index

Volatilität

Bonus-ZertifikatDeutsche Post AG12/2014 (SG42OT)

BONUS-ZERTIFIKAT - DEUTSCHE BANK AG 12 /2014 (SG21Q6)

PERFORMANCE 1 JAHR: -6.59%PERFORMANCE 6 MONATE: +3.23%PERFORMANCE 1 MONAT: -2.90%PERFORMANCE 1 WOCHE: +4.98%

PRODUKTTYP:

PRODUKTGRUPPE: BONUSZERTIFIKAT

Bonus-Zerti�kate haben eine feste Laufzeit. Weiter wird ein Bonuszerti�kat durch zwei Param-eter bestimmt, die Barriere, auch Sicherheitslevel genannt, und das Bonuslevel. Abhängig von der Wahl dieser Parameter reagiert der Wert des Zerti�kates auf die Entwicklung seines Ba-siswertes.

Das Sicherheitslevel spielt eine wesentliche Rolle: Berührt oder durchbricht der Basiswert die Barriere während der Laufzeit auch nur ein einziges Mal, dann ändert sich der Charakter des Bonuszerti�kats vollständig: Es wird zu einem normalen Trackerzerti�kat und der Bonus ist un-widerru�ich verloren, auch wenn am Fälligkeitstag der Basiswert wieder über der Barriere liegt. Allerdings unterscheidet sich die Rendite eines Bonuszerti�kates von der eines Trackerzerti�-kates, da der Preis des Bonuszerti�kates um den Wert der Barrieroption über dem Preis eines entsprechenden Trackerzerti�kates liegt.

BASISWERT: INDEX LAUFZEIT:

BEWERTUNGSTAG: 19.12.2014

AUSGABETAG: 12.04.2012 WERT:

BRIEF: 47.45

GELD: 47.35 SPREAD: 0.21%

visual approach for similarity search in a financial product search scenario

Page 10: Visual Innovations for Product Search Interfaces

INFORMATIK 2014 - FoRESEE Workshop 22 Sep 2014 Visual Innovations for Product Search Interfaces 10 | 11

Conclusion & Future Work

_ search experience and speed in product search scenarios can be significantly improved by visually appealing interfaces

_ recommendation-based approach: good results in short time

_ analytical approach: better results, but requires more effort and time

challenges: _ management of a huge variety of different informati-on sources and formats

_ good balance between insights in the underlying data sources and a user-friendly, easily comprehensible interface

GERNERAL TO SPECIFIC SPECIFIC TO GENERAL

NAV

IGAT

ION

AL S

EARC

HDI

RECT

SEA

RCH

PARALLEL COORDINATES

GET-INSPIRED

PARALLEL SETS

SEARCH BYEXAMPLE

Page 11: Visual Innovations for Product Search Interfaces

INFORMATIK 2014 - FoRESEE Workshop 22 Sep 2014 Visual Innovations for Product Search Interfaces 11 | 11

References

Dörk, M.; Williamson, C. and Carpendale, S.: Navigating tomorrow’s web: From searching and browsing to visual exploration. ACM Trans. Web 6, 3, Article 13, 28 pages. New York, USA (2012)

Broder, A.: A taxonomy of Web search. SIGIR Forum, 36(2), 3–10., 2002

Jansen, B. J., Booth, D. L., Spink, A.: Determining the informational, navigational, and transactional intent of Web queries. Inf. Process. Manage. 44, 1251-1266., 2008

Marchionini, G.: Exploratory search: from finding to understanding. Communications of the ACM. New York, USA: ACM, 41-46, 2006

White, R. W., Roth, R. A.: Exploratory Search: Beyond the Query-Response Paradigm. San Rafael, California: Morgan and Claypool Publishers, 2009

Tunkelang, D.: Dynamic category sets: An approach for faceted search. ACM SIGIR, 6, 2006

Clemmer, A. & Davis, S. Smeagol: A “Specific-to-General” Semantic Web Query Interface Paradigm for Novices.volume 6860 of Lec-ture Notes in Computer Science, pages 288-302, Springer Heidelberg Verlag, 2011