WBPL: An open-source library for predicting web surfing behaviors

Ted Gueniche, Philippe Fournier-Viger, Roger Nkambou, Vincent S. Tseng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We present WBPL (Web users Behavior Prediction Library), a cross-platform open-source library for predicting the behavior of web users. WBPL allows training prediction models from server logs. The proposed library offers support for three of the most used webservers (Apache, Nginx and Lighttpd). Models can then be used to predict the next resources fetched by users and can be updated with new logs efficiently. WBPL offers multiple state-of-the-art prediction models such as PPM, All-K-Order-Markov and DG and a novel prediction model CPT (Compact Prediction Tree). Experiments on various web click-stream datasets shows that the library can be used to predict web surfing or buying behaviors with a very high overall accuracy (up to 38 %) and is very efficient (up to 1000 predictions /s).

Original languageEnglish
Title of host publicationFoundations of Intelligent Systems - 21st International Symposium, ISMIS 2014, Proceedings
PublisherSpringer Verlag
Pages524-529
Number of pages6
ISBN (Print)9783319083254
DOIs
StatePublished - 1 Jan 2014
Event21st International Symposium on Methodologies for Intelligent Systems, ISMIS 2014 - Roskilde, Denmark
Duration: 25 Jun 201427 Jun 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8502 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference21st International Symposium on Methodologies for Intelligent Systems, ISMIS 2014
CountryDenmark
CityRoskilde
Period25/06/1427/06/14

Keywords

  • Web behavior prediction
  • accuracy
  • sequence prediction

Fingerprint Dive into the research topics of 'WBPL: An open-source library for predicting web surfing behaviors'. Together they form a unique fingerprint.

Cite this