LILAC - Learn from internet: Log, annotation, and content

Tingshao Zhu*, Russ Greiner, Bin Hu

*Corresponding author for this work

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

Abstract

This paper summarizes an user study designed to evaluate various models of how users browse the web while working on their day-to-day tasks, in their office or at home. We use these models to predict which pages contain information the user will find useful, and provide empirical data that these learned models are effective.

Original languageEnglish
Title of host publicationExperimental Design for Real-World Systems - Papers from the AAAI Spring Symposium
Pages57-62
Number of pages6
Publication statusPublished - 2009
Externally publishedYes
EventExperimental Design for Real-World Systems - Papers from the AAAI Spring Symposium - Stanford, CA, United States
Duration: 23 Mar 200925 Mar 2009

Publication series

NameAAAI Spring Symposium - Technical Report
VolumeSS-09-03

Conference

ConferenceExperimental Design for Real-World Systems - Papers from the AAAI Spring Symposium
Country/TerritoryUnited States
CityStanford, CA
Period23/03/0925/03/09

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