Search pattern: Classifying search engines from a new perspective

Xiao Wei, Yang Yang, Xiangfeng Luo, Qing Li, Zhiwei Tang, Zheng Xu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

New types of search engines are emerging to overcome defects of traditional search engines. What the next search engine should be? It is an efficient way to classify and compare current search engines to find possible answers. This paper first defines search pattern as the combination of index structure, user profile, and interaction mechanism, which can model a search engine and help us classify search engines more essentially. Then, current search engines are classified and compared from the view of search pattern to find what the next search engine should be. Finally, a new search pattern for next generation search engine is proposed by synthesizing the advantages of different search patterns, which can help developing new search engines and may be the possible direction of the next search engine.

Original languageEnglish
Title of host publicationFuture Information Technology
PublisherSpringer-Verlag
Pages417-422
Number of pages6
ISBN (Print)9783642550379
DOIs
Publication statusPublished - 1 Jan 2014
Externally publishedYes
Event9th FTRA InternationalConference on Future Information Technology, FutureTech 2014 - Zhangjiajie, China
Duration: 28 May 201431 May 2014

Publication series

NameLecture Notes in Electrical Engineering
Volume309 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference9th FTRA InternationalConference on Future Information Technology, FutureTech 2014
CountryChina
CityZhangjiajie
Period28/05/1431/05/14

Keywords

  • index structure
  • interaction process
  • search engine
  • search pattern

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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