Izvestiya of Saratov University.

Mathematics. Mechanics. Informatics

ISSN 1816-9791 (Print)
ISSN 2541-9005 (Online)


For citation:

Romanov A. I., Batraeva I. A. Attention based collaborative filtering. Izvestiya of Saratov University. Mathematics. Mechanics. Informatics, 2022, vol. 22, iss. 1, pp. 103-111. DOI: 10.18500/1816-9791-2022-22-1-103-111, EDN: CJRZZE

This is an open access article distributed under the terms of Creative Commons Attribution 4.0 International License (CC-BY 4.0).
Published online: 
31.03.2022
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English
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Article type: 
Article
UDC: 
004.032.26
EDN: 
CJRZZE

Attention based collaborative filtering

Autors: 
Romanov Aleksey I., Saratov State University
Batraeva Inna A., Saratov State University
Abstract: 

Attention mechanism invention was an important milestone in the development of the Natural Language Processing domain. It found many applications in different fields, like churn prediction, computer vision, speech recognition, and so on. Many state-of-the-art models are based on attention mechanisms, especially in NLP. As this technique is very powerful, we decided to investigate its application in solving a collaborative filtering problem. In this paper, we propose a standard framework for developing a recommender system engine based on transformer architecture. We could not reproduce current state-of-the-art results on MovieLens datasets, but in our implementation attention based model achieves competitive scores on MovieLens 1M and MovieLens 10M datasets. 

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Received: 
24.11.2021
Accepted: 
21.12.2021
Published: 
31.03.2022