Method of drifting user's interests based on hybrid model

Lizhe Song*, Zhendong Niu, Zhengtao Yu, Hantao Song, Xiangjun Dong

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

This paper aims at the problem of combination of user's interests and previous interests. It proposes a hybrid model based on concept correlations. In this hybrid model, user's interests consist of long-term model and short-term model, and these two models adopt different algorithms to deal with the interest's changes. Short-term model uses sliding window algorithm to deal with the sequence of the user's interest samples. Long-term model uses gradual forgetting algorithm based on concepts correlations to calculate the interests' weight. Experiment shows that this method is more efficient; it can not only trace the interest change of the user exactly, but also predict the interest of the users.

Original languageEnglish
Pages (from-to)4-6+89
JournalJisuanji Gongcheng/Computer Engineering
Volume32
Issue number1
Publication statusPublished - 5 Jan 2006

Keywords

  • Concept correlations
  • Concept drift
  • Gradual forgetting
  • Sliding window

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