GLocal-K: Global and Local Kernels for Recommender Systems. Global and Local Kernels for Recommender Systems

Soyeon Caren Han, Taejun Lim, Siqu Long, Bernd Burgstaller, Josiah Poon

Research output: Chapter in Book/Conference paperConference paperpeer-review

17 Citations (Scopus)

Abstract

Recommender systems typically operate on high-dimensional sparse user-item matrices. Matrix completion is a very challenging task to predict one's interest based on millions of other users having each seen a small subset of thousands of items. We propose a G lobal-Local Kernel-based matrix completion framework, named GLocal-K, that aims to generalise and represent a high-dimensional sparse user-item matrix entry into a low dimensional space with a small number of important features. Our GLocal-K can be divided into two major stages. First, we pre-train an auto encoder with the local kernelised weight matrix, which transforms the data from one space into the feature space by using a 2d-RBF kernel. Then, the pre-trained auto encoder is fine-tuned with the rating matrix, produced by a convolution-based global kernel, which captures the characteristics of each item. We apply our GLocal-K model under the extreme low-resource setting, which includes only a user-item rating matrix, with no side information. Our model outperforms the state-of-the-art baselines on three collaborative filtering benchmarks: ML-100K, ML-1M, and Douban.

Original languageEnglish
Title of host publicationCIKM 2021
Subtitle of host publicationProceedings of the 30th ACM International Conference on Information and Knowledge Management
Place of PublicationUSA
PublisherAssociation for Computing Machinery (ACM)
Pages3063-3067
Number of pages5
ISBN (Electronic)9781450384469
DOIs
Publication statusPublished - 26 Oct 2021
Externally publishedYes
Event30th ACM International Conference on Information and Knowledge Management, CIKM 2021 - Virtual, Online, Australia
Duration: 1 Nov 20215 Nov 2021

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings

Conference

Conference30th ACM International Conference on Information and Knowledge Management, CIKM 2021
Country/TerritoryAustralia
CityVirtual, Online
Period1/11/215/11/21

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