A poisson model for user accesses to Web pages

Şule Gündüz*, M. Tamer Özsu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

22 Citations (Scopus)

Abstract

Predicting the next request of a user as she visits Web pages has gained importance as Web-based activity increases. There are a number of different approaches to prediction. This paper concentrates on the discovery and modelling of the user's aggregate interest in a session. This approach relies on the premise that the visiting time of a page is an indicator of the user's interest in that page. Even the same person may have different desires at different times. Although the approach does not use the sequential patterns of transactions, experimental evaluation shows that the approach is quite effective in capturing a Web user's access pattern. The model has an advantage over previous proposals in terms of speed and memory usage.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsAdnan Yazici, Cevat Sener
PublisherSpringer Verlag
Pages332-339
Number of pages8
ISBN (Print)3540204091, 9783540397373
DOIs
Publication statusPublished - 2003

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2869
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Fingerprint

Dive into the research topics of 'A poisson model for user accesses to Web pages'. Together they form a unique fingerprint.

Cite this