Discovering and exploiting cumulative cues for informational web search

Yue Cen Liu, Wei Hsun Wen, Wei-Guang Teng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

It is common that users collect desired information by search engines. Nevertheless, when a user is unfamiliar with his or her search target, some efforts are required to browse and to understand the web pages contained in the corresponding search result. In such an informational web search, it is noted that information cues are cumulated as the user reads more and more web pages to approach the search target. For example, the term "cloud computing" can be gradually understood after the user obtains some information of relevant topics, e.g., distributed computing, Google App Engine, Amazon EC2. In this work, an indicator, i.e., immediacy of interest, is proposed to evaluate the possible user interest toward a web page contained in the search result. Moreover, to address the relevance among search sessions, the topic map is also utilized in our proposed scheme. Empirical studies show that tasks of informational web search can be completed efficiently and effectively with our approach.

Original languageEnglish
Title of host publicationProceedings - International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2010
Pages286-292
Number of pages7
DOIs
Publication statusPublished - 2010 Dec 1
Event2010 15th Conference on Technologies and Applications of Artificial Intelligence, TAAI 2010 - Hsinchu, Taiwan
Duration: 2010 Nov 182010 Nov 20

Publication series

NameProceedings - International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2010

Other

Other2010 15th Conference on Technologies and Applications of Artificial Intelligence, TAAI 2010
Country/TerritoryTaiwan
CityHsinchu
Period10-11-1810-11-20

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computational Theory and Mathematics

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