Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Universal Access in the Information Society
Erschienen in: Universal Access in the Information Society 3/2008

01.09.2008 | Long Paper

User profiling and virtual agents: a case study on e-commerce services

verfasst von: Giovanni Semeraro, Verner Andersen, Hans H. K. Andersen, Marco de Gemmis, Pasquale Lops

Erschienen in: Universal Access in the Information Society | Ausgabe 3/2008

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

The main contribution of this work is the design of an application framework based on both conversational agents and user profiling technologies for the development of e-commerce services. User profiles are exploited by conversational agents to help customers in retrieving potentially interesting products from a catalogue. Three techniques were used for collecting data for a usability test: eye-movement tracking, questionnaire, and recording the user-system dialogue. The main outcomes of the experimental sessions are: (1) the dialogue capabilities of the agent facilitate the interaction between the user and the e-commerce site; and, (2) user profiles improve the retrieval capabilities of the agent. Finally, some limitations of the user profiling techniques adopted in the framework are discussed and a more sophisticated content-based profiling technique is proposed.
Vorheriger Artikel Social and community informatics: humans on the net by Gunilla Bradley (2006), Publisher: Routledge

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Literatur
1.
Adomavicius, G., Tuzhilin, A.: Using data mining methods to build customer profiles. IEEE Comput. 34(2), 74–82 (2001)
2.
Allen, C., Yaeckel, K.D., Yaeckel, B.: Internet world guide to one-to-one web marketing. Wiley, New York (1998)
3.
Allen, J., Ferguson, G., Stent, A.: An architecture for more realistic conversational systems. In: Proceedings of International Conference on Intelligent User Interfaces (IUI), pp. 1–8 (2001)
4.
Andersen, V., Andersen, H.H.K.: Evaluation of the COGITO system. Deliverable 7.2, COGITO IST-1999–13347. Risoe National Laboratory, Denmark (2002)
5.
Belkin, N.J., Cool, C., Kelly, D., Kim, G., Kim, J.-Y., Lee, H.-J., Muresan, G., Tang, M.-C., Yuan, X.-J.: Query Length in Interactive Information Retrieval, SIGIR’03, Toronto (2003)
6.
Belkin, N.J., Cool, C., Stein, A., Thiel, U.: Cases, scripts, and information seeking strategies: on the design of interactive information retrieval systems. Expert Syst. Appl. 9(3), 379–395 (1995)CrossRef
7.
Borchers, A., Herlocker, J., Konstan, J., Riedl, J.: Ganging up on information overload. IEEE Comput. 31(4), 106–108 (1998)
8.
Cassell, J., Sullivan, J., Prevost, S., Churchill, E.: Embodied Conversational Agents. MIT Press, Cambridge (2000)
9.
Chai, J., Horvath, V., Nicolov, N., Stys-Budzikowska, M., Kambhatla, N., Zadrozny, W.: Natural language sales assistant—a web-based dialog system for online sales. In: Proceedings of the 13th Innovative Applications of Artificial Intelligence Conference, pp. 19–26. AAAI Press, Menlo Park (2001)
10.
Chai, J., Horvath, V., Nicolov, N., Stys, M., Kambhatla, N., Zadrozny, W., Melville, P.: Natural language assistant. A dialog system for on-line product recommendation. Artif. Intell. Mag. 23(2), 63–75 (2002)
11.
Colby, K.M.: Artificial Paranoia. Pergamon Press, New York (1975)
12.
Cooperstein, D., Delhagen, K., Aber, A., Levin, K.: Making Net Shoppers Loyal. Forrester Research, Cambridge (1999)
13.
Crowder, R., Wills, G., Hall, W.: Computers in industry evaluation of a hypermedia maintenance support application. Comput. Ind. 51(3), 327–344 (2003)CrossRef
14.
Ekman, P.: Emotion in the Human Face. Cambridge University Press, New York (1982)
15.
Hof, R., Green, H., Himmelstein, L.: Now it’s YOUR WEB. Business Week (October 5), 68–75 (1998)
16.
Jameson A.: Adaptive interfaces and agents. In: The Human–Computer Interaction Handbook: Fundamentals, Evolving Technologies and Emerging Applications. Lawrence Erlbaum Associates, Inc., Mahwah (2002)
17.
Jansen, B.J., Spink, A., Saracevic, T.: Real life, real users, and real needs: a study and analysis of user queries on the web. Inf. Process. Manag. 36, 207–227 (2000)CrossRef
18.
Kirakowski, J., Corbett, M.: SUMI: the software usability measurement inventory. Br. J. Educ. Technol. 24(3), 210–212 (1993)CrossRef
19.
Kobsa, A.: Tailoring privacy to users’ needs. In: Bauer, M., Gmytrasiewicz, P.J., Vassileva, J. (eds.) Proceedings of User Modelling 2001, LNAI, vol. 2109, pp. 303–313. Springer, Berlin (2001)
20.
Kobsa, A.: Generic user modeling systems. User Model. User-adapt. Interact. 11(1–2), 49–63 (2001)MATHCrossRef
21.
Mitchell, T.: Machine Learning. McGraw-Hill, New York (1997)MATH
22.
Mladenic, D.: Text-learning and related intelligent agents: a survey. IEEE Intell. Syst. 14(4), 44–54 (1999)CrossRef
23.
Ogden W.C., Bernick P.: Using natural language interfaces. In: Helander M. (ed.) Handbook of Human Computer Interaction. Elsevier, North-Holland (1996)
24.
Pazzani, M., Billsus, D.: Learning and revising user profiles: the identification of interesting web sites. Mach. Learn. 27(3), 313–331 (1997)CrossRef
25.
Peppers, D., Rogers, M.: The One to One Future: Building Relationships One Customer at a Time. Currency Doubleday, New York (1993)
26.
Peppers, D., Rogers, M.: Enterprise One to One: Tools for Competing in Interactive Age. Currency Doubleday, New York (1997)
27.
Porteous, M., Kirakowski, J., Corbett, M.: SUMI User Handbook. Human Factors Research Group, University College Cork, Ireland (1993)
28.
Resnick, P., Varian, H.R.: Recommender systems. Commun. ACM 40(3), 56–58 (1997)CrossRef
29.
Riecken, D.: Personalized views of personalization. Commun. ACM 43(8), 27–28 (2000)
30.
Schafer, J.B., Konstan, J.A., Riedl, J.: E-commerce recommendation applications. Data Min. Knowl. Discov. 5(1/2), 1115–153 (2001)CrossRef
31.
Semeraro, G., Degemmis, M., Lops, P.: (2002) User profiling to support Internet customers: what do you want to buy today? Inf. Int. J. Comput. Inf. 26(4), 407–418. Informatika Society ISSN: 0350–5596
32.
Stein, A., Gulla, J.A., Thiel, U.: User-tailored planning of mixed initiative information-seeking dialogues. User Model. User-adapt. Interact. 8(1–2), 133–166 (1999)CrossRef
33.
Tasso, C., Omero, P.: Personalization of web content: e-commerce, i-access, e-government. Franco Angeli (in Italian) (2002)
34.
Thiel, U., Everts, A., Lutes, B., Tzeras, K.A.: Logic-based approach to search in digital libraries. In: Fankhauser, P., Ockenfeld, M. (eds.) Integrated Publication and Information Systems, 10 Years of Research and Development, pp 169–186. GMD- Forschungszentrum Informationstechnik, Sankt Augustin (1998)
35.
Webb, G.I., Pazzani, M.J., Billsus, D.: Machine learning for user modeling. User Model. User-adapt. Interact. 11(1-2), 19–29 (2001)MATHCrossRef
36.
Weizenbaum, J.: ELIZA—a computer program for the study of natural language communication between man and machine. Commun. ACM 9(1), 36–45 (1966)CrossRef
Metadaten
Titel
User profiling and virtual agents: a case study on e-commerce services
verfasst von
Giovanni Semeraro
Verner Andersen
Hans H. K. Andersen
Marco de Gemmis
Pasquale Lops
Publikationsdatum
01.09.2008
Verlag
Springer-Verlag
Erschienen in
Universal Access in the Information Society / Ausgabe 3/2008
Print ISSN: 1615-5289
Elektronische ISSN: 1615-5297
DOI
https://doi.org/10.1007/s10209-008-0116-1

Weitere Artikel der Ausgabe 3/2008

Universal Access in the Information Society 3/2008 Zur Ausgabe

Book Review

Social and community informatics: humans on the net by Gunilla Bradley (2006), Publisher: Routledge

Long Paper

Evaluating a modified Google user interface via screen reader

Long Paper

Involving domain experts in assistive technology research

Long Paper

A camera-joystick for sound-augmented non-visual navigation and target acquisition: a case study