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Titolo:
Visualization and analysis of clickstream data of online stores for understanding Web merchandising
Autore:
Lee, J; Podlaseck, M; Schonberg, E; Hoch, R;
Indirizzi:
IBM Corp, Thomas J Watson Res Ctr, Yorktown Heights, NY 10598 USA IBM Corp Yorktown Heights NY USA 10598 tr, Yorktown Heights, NY 10598 USA
Titolo Testata:
DATA MINING AND KNOWLEDGE DISCOVERY
fascicolo: 1-2, volume: 5, anno: 2001,
pagine: 59 - 84
SICI:
1384-5810(200101/04)5:1-2<59:VAAOCD>2.0.ZU;2-Z
Fonte:
ISI
Lingua:
ENG
Keywords:
e-commerce; business intelligence; visualization; merchandising; marketing;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
23
Recensione:
Indirizzi per estratti:
Indirizzo: Lee, J IBM Corp, Thomas J Watson Res Ctr, POB 218, Yorktown Heights, NY 10598 USA IBM Corp POB 218 Yorktown Heights NY USA 10598 eights, NY 10598 USA
Citazione:
J. Lee et al., "Visualization and analysis of clickstream data of online stores for understanding Web merchandising", DATA M K D, 5(1-2), 2001, pp. 59-84

Abstract

Clickstreams are visitors' paths through a Web site. Analysis of clickstreams shows how a Web site is navigated and used by its visitors. Clickstreamdata of online stores contains information useful for understanding the effectiveness of marketing and merchandising efforts, such as how customers find the store, what products they see, and what products they purchase. In this paper, we present an interactive visualization system that provides users with greater abilities to interpret and explore clickstream data of online stores. This system visualizes the effectiveness of Web merchandising from two different points of view by using two different visualization techniques: visualization of sessions by using parallel coordinates and visualization of product performance by using starfield graphs. Furthermore, this system provides facilities for zooming, filtering, color-coding, dynamic querying and data sampling. It also provides summary information along with visualizations, and by maintaining a connection between visualizations and the source database, it dynamically updates the summary information. To demonstrate how the presented visualization system provides capabilities for examining online store clickstreams, we present a series of parallel coordinates and starfield visualizations that display clickstream data from an operating online retail store. A framework for understanding Web merchandising is briefly explained. A set of metrics referred to as micro-conversion rates, which are defined for Web merchandising analysis in our previous work (Lee et al., Electronic Markets, 2000), is also explained and used for the visualizations of online store effectiveness.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 25/01/20 alle ore 03:12:37