An Improved Recommendation Algorithm Based on Two-layer Attention Mechanism

Hyejin Kim (김혜진)

doi:10.9708/jksci.2021.26.10.185

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.

KEYWORDS

Attention, Mechanism, Recommendation, Deep Learning, AMITI Algorithm

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* References for papers published after 2023 are currently being built.

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Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

An Improved Recommendation Algorithm Based on Two-layer Attention Mechanism

ABSTRACT

KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

An Improved Recommendation Algorithm Based on Two-layer Attention Mechanism

ABSTRACT

KEYWORDS

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