Incremental and distributed web page clustering algorithms PG+ and PG++

Qixin Wang, Yi Li, Li Dong, Yu Nie, Ke Hong Wang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1 Citation (Scopus)

Abstract

A user behavior analysis is an important approach in many algorithms for the Web site information recommendation, among which, PageGather is a typical algorithm. However, the original PageGather algorithm is static, which needs too many data inputs and too much computing time. In this paper, incremental learning and distributed computation mechanisms are introduced into PageGather, so that two improved algorithms PG+ and PG++ are proposed. At the same time, corresponding experimental results are presented and analyzed. The improved algorithms are equivalent to the static PageGather algorithms. but have better effect.
Original languageEnglish
Pages (from-to)1500-1507
Number of pages8
JournalRuan Jian Xue Bao/Journal of Software
Volume13
Issue number8
Publication statusPublished - 1 Aug 2002
Externally publishedYes

Keywords

  • Clustering
  • Distributed
  • Incremental
  • PageGather
  • Web

ASJC Scopus subject areas

  • Software

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