본문 바로가기
  • Home

An Improved Recommendation Algorithm Based on Two-layer Attention Mechanism

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2021, 26(10), pp.185-198
  • DOI : 10.9708/jksci.2021.26.10.185
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : September 13, 2021
  • Accepted : October 21, 2021
  • Published : October 29, 2021

Hyejin Kim 1

1국민대학교

Accredited

ABSTRACT

With the development of Internet technology, because traditional recommendation algorithms cannot learn the in-depth characteristics of users or items, this paper proposed a recommendation algorithm based on the AMITI(attention mechanism and improved TF-IDF) to solve this problem. By introducing the two-layer attention mechanism into the CNN, the feature extraction ability of the CNN is improved, and different preference weights are assigned to item features, recommendations that are more in line with user preferences are achieved. When recommending items to target users, the scoring data and item type data are combined with TF-IDF to complete the grouping of the recommendation results. In this paper, the experimental results on the MovieLens-1M data set show that the AMITI algorithm improves the accuracy of recommendation to a certain extent and enhances the orderliness and selectivity of presentation methods.

Citation status

* References for papers published after 2022 are currently being built.