A Study on Intention Network Modeling Based on User's Interest Web-Page

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Abstract

There are various studies to try to provide useful information to users in the Web. Web usage mining is a method to extract meaningful patterns based on web users' log data. Most of existing approaches of web usage mining, however, had not considered users' diverse intention but created general models. Web users' search keywords can have various meaning upon their preference and context. This study is for generating the User Intent Network Model (UIN-Model) after collecting and analyzing web usage information corresponding to keywords. UIN-Model can supply web page navigation networks reflecting users' various intention information. It can also be used to recommend most proper web pages and it has been confirmed that the suggested method was useful enough.

Original languageEnglish
Title of host publicationHCI International 2013 - Posters' Extended Abstracts - International Conference, HCI International 2013, Proceedings
PublisherSpringer Verlag
Pages418-421
Number of pages4
EditionPART II
ISBN (Print)9783642394751
DOIs
StatePublished - 2013
Event15th International Conference on Human-Computer Interaction, HCI International 2013 - Las Vegas, NV, United States
Duration: 21 Jul 201326 Jul 2013

Publication series

NameCommunications in Computer and Information Science
NumberPART II
Volume374
ISSN (Print)1865-0929

Conference

Conference15th International Conference on Human-Computer Interaction, HCI International 2013
Country/TerritoryUnited States
CityLas Vegas, NV
Period21/07/1326/07/13

Keywords

  • UIN-Model
  • User Preference
  • Web Mining

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