WEBKDD'99
ACM SIGKDD Explorations NewsletterPublished 1 January 2000Open access
Brij Masand, Myra Spiliopoulou
Citations26
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
The workshop on "Web Usage Analysis and User Profiling" took place at Aug. 15, 1999 under the auspices of the SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'99).
Abstract
The WEBKDD'99 workshop on "Web Usage Analysis and User Profiling" took place at Aug. 15, 1999 under the auspices of the SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'99). We report on the topics addressed in the workshop, the contributions and the discussions that took place in its framework.
Keywords
Computer Science
Communications of the ACMThe World-Wide Web
524 Citations1996Oren Etzioni
Information on the Web is sufficiently structured to facilitate effective Web mining, according to the structured Web hypothesis, and preliminary Web mining successes are surveyed and directions for future work are suggested.
Lecture notes in computer scienceData Mining of User Navigation Patterns
274 Citations2000José Borges, Mark Levene
A data mining model that captures the user navigation behaviour patterns as a hypertext probabilistic grammar whose higher probability strings correspond to the user's preferred trails and the use of entropy as an estimator of the grammar's statistical properties is proposed.
Lecture notes in computer scienceDiscovery of Interesting Usage Patterns from Web Data
193 Citations2000Robert Cooley, Pang‐Ning Tan +1 more
A quantitative model based on support logic for determining the interestingness of discovered patterns is developed and incorporated into the Web Site Information Filter system and examples of interesting frequent itemsets automatically discovered from real Web data are presented.
Lecture notes in computer scienceImproving the Effectiveness of a Web Site with Web Usage Mining
98 Citations2000Myra Spiliopoulou, Carsten Pohle +1 more
This study proposes a methodology of assessing the quality of a web site in turning its users into customers and proposes a technique for dynamically adapting the site according to those rules.
Lecture notes in computer scienceA Generalization-Based Approach to Clustering of Web Usage Sessions
96 Citations2000Yongjian Fu, Kanwalpreet Sandhu +1 more
The clustering of Web usage sessions based on the access patterns is studied and it is shown that the approach is efficient and practical for Web mining applications.
Research Portal (King's College London)Navigation Pattern Discovery from Internet Data
90 Citations1999AG Büchner, Matthias Baumgarten +3 more
A new algorithm called MiDAS is introduced that extends traditional sequence discovery with a wide range of web-specific features and allows the detection of sequences across monitored attributes, such as URLs and http referrers.
Lecture notes in computer scienceInferring Demographic Attributes of Anonymous Internet Users
45 Citations2000D. A. Murray, Kevan Durrell
An application of the Latent Semantic Analysis (LSA) information retrieval technique is described to construct a vector space in which to represent the usage data associated with each Internet user of interest, and how the LSA vector space enables to produce demographic inferences.
Lecture notes in computer scienceUser-Driven Navigation Pattern Discovery from Internet Data
40 Citations2000Matthias Baumgarten, Alex G. Büchner +3 more
A new algorithm called MiDAS is introduced that extends traditional sequence discovery with a wide range of web-specific features and supports sequence discovery from multidimensional data, which allows the detection of sequences across monitored attributes, such as URLs and http referrers.
Lecture notes in computer scienceAnalysis and Visualization of Metrics for Online Merchandising
37 Citations2000Juhnyoung Lee, Mark Podlaseck +3 more
A new set of metrics for Web merchandising, which are called micro-conversion rates, are defined, which provide capabilities for examining data about sales and merchandise in online stores, and also provide detailed insight into the effectiveness of different Web Merchandising efforts by answering related business questions.
Lecture notes in computer scienceMaking Web Servers Pushier
26 Citations2000Bin Lan, Stéphane Bressan +2 more
A strategy for making Web servers "pushier" by identifying the typical access patterns for a set of documents on a Web server and deciding to push these documents to the browsers and proxy servers is presented and evaluated.