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Journal ArticleDOI

Personalization on the Net using Web mining: introduction

Maurice Mulvenna, +2 more
- 01 Aug 2000 - 
- Vol. 43, Iss: 8, pp 122-125
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This article is published in Communications of The ACM.The article was published on 2000-08-01. It has received 393 citations till now. The article focuses on the topics: Web intelligence & Web standards.

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Citations
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Journal ArticleDOI

Service Quality Delivery Through Web Sites: A Critical Review of Extant Knowledge

TL;DR: In this paper, the authors review and synthesize the literature about service quality delivery through Web sites, describe what is known about the topic, and develop an agenda for needed research.
Journal ArticleDOI

Web mining for web personalization

TL;DR: This article introduces the modules that comprise a Web personalization system, emphasizing the Web usage mining module, and presents a review of the most common methods that are used as well as technical issues that occur.
Journal ArticleDOI

A personalized recommender system based on web usage mining and decision tree induction

TL;DR: A personalized recommendation methodology is suggested by which to get further effectiveness and quality of recommendations when applied to an Internet shopping mall, based on a variety of data mining techniques.
Book ChapterDOI

Data mining for web personalization

TL;DR: An overview of Web personalization process viewed as an application of data mining requiring support for all the phases of a typical data mining cycle, including data collection and pre-processing, pattern discovery and evaluation, and finally applying the discovered knowledge in real-time to mediate between the user and the Web.
Journal ArticleDOI

Research Commentary: Transformational Issues in Researching IS and Net-Enabled Organizations

TL;DR: The article examines the two primary dyadic net-enabled relationships in the marketplace: B2C and B2B, and considers issues that extend beyond these two relationships.
References
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Journal ArticleDOI

The Internet, intranets, and the AI renaissance

TL;DR: This survey looks at examples of the following AI technologies: natural language processing (concept-based Internet searching); machine-learning (WebWatcher); heuristic rules for establishing preference (Letizia); rule-based/heuristic natural languageprocessing (ContactFinder); and neural networks (Autonomy).
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