Topic-Oriented Exploratory Search Based on an Indexing Network

Hai Chun Sun, Chang Jun Jiang, Zhi Jun Ding, Peng Wei Wang, Meng Chu Zhou

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

An exploratory search may be driven by a user's curiosity or desire for specific information. When users investigate unfamiliar fields, they may want to learn more about a particular subject area to increase their knowledge rather than solve a specific problem. This work proposes a topic-oriented exploratory search method that provides browse guidance to users. It allows them to discover new associations and knowledge, and helps them find their interested information and knowledge. Since an exploratory search needs to judge the ability to discover new knowledge, the existing commonly used metrics fail to capture it. This paper thus defines a new set of criteria containing clarity, relevance, novelty, and diversity to analyze the effectiveness of an exploratory search. Experiments are designed to compare results from the proposed method and Google's 'search related to..' The results show that the proposed one is more suitable for learning new associations and discovering new knowledge with highly likely relevance to a query. This work concludes that it is more suitable than Google for an exploratory search.

Original languageEnglish (US)
Article number7108039
Pages (from-to)234-247
Number of pages14
JournalIEEE Transactions on Systems, Man, and Cybernetics: Systems
Volume46
Issue number2
DOIs
StatePublished - Feb 2016

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Human-Computer Interaction
  • Computer Science Applications
  • Electrical and Electronic Engineering

Keywords

  • Exploratory search
  • indexing network
  • relevance information search
  • search expansion

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