Abstract
In this paper we present the design and prototype implementation of a real-time, adaptive, ontology-based sales agent and recommendation engine. It supports the personalization of Internet services by taking into account product knowledge, sales expertise and customer preferences. Using a hybrid of ontology engineering and machine learning techniques, the sales agent resolves the start-up and knowledge management problems inherent in other web personalization technologies. It provides for the dynamic adaptation of customer profiles based on behavioral data and domain knowledge models. This approach is domain-independent and applicable to a wide-variety of web commerce and services sites.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Reference
Autonomy. URL: http://www.autonomy.com/tech/wp.html
Craven, M.: Learning to Construct Knowledge Bases from the World Wide Web. Artificial Intelligence, 1-2 (2000) 69–113
Balabanovic, M., Shoham, Y.: Content-based, Collaborative Recommendation. Comm. of the ACM, 3 (1997) 66–72
Fayyad, U.M., Piatetsky-Shapiro, G., Smyth, P.: From data mining to knowledge discovery. In: Fayyad, U.M., Piatetsky-Shapiro, G., Smyth, P., Uthurusamy, R. (eds.): Advances in knowledge discovery and data mining. AAAI Press/MIT Press, CA. (1996) 1–31
Michalski, R., Kubat, M., Bratko, I., Bratko, A.: Machine Learning and Data Mining: Methods and Applications. John Wiley & Sons Ltd. (1998)
Mizoguchi, R.: A Step Towards Ontological Engineering. URL: http://www.ei.sanken.osaka-u.ac.jp/english/step-onteng.html
Mitchell, T.: Machine Learning and Data Mining. Comm. of the ACM, 11 (1999) 30–36
Resnick, P., Iacovou, N., Sushak, M., Bergstrom, P., Riedl, J.: GroupLens: An Open Architecture for Collaborative Filtering of Netnews. In: Proceedings of the ACM Conference on Computer Supported Cooperative Work (1994) 175–186
Resnick, P., and Varian, H.: Recommendation Systems. In: Fayyad, U.M., Piatetsky-Shapiro, G., Smyth, P., Uthurusamy, R. (eds.): Advances in knowledge discovery and data mining. AAAI Press/MIT Press, CA. (1996) 1–31
Mobasher, B., Automatic Personalization Based on Web Usage Mining. Technical Report TR99-010, Department of Computer Science, Depaul University (1999)
Schafer, J.B., Konstan, J., Riedl, J.: Recommender Systems in E-Commerce. In: Proceedings of the ACM Conference on Electronic Commerce (1999) 158–166
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Chen, W., Shaw, R., Mortenson, L., Foley, T., Mizoguchi, R. (2001). A Sales Agent for Website Personalization. In: Kowalczyk, R., Loke, S.W., Reed, N.E., Williams, G.J. (eds) Advances in Artificial Intelligence. PRICAI 2000 Workshop Reader. PRICAI 2000. Lecture Notes in Computer Science(), vol 2112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45408-X_4
Download citation
DOI: https://doi.org/10.1007/3-540-45408-X_4
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-42597-7
Online ISBN: 978-3-540-45408-3
eBook Packages: Springer Book Archive