HyTiFRec: Hybrid Time-Frequency Dual-Branch Transformer for Sequential Recommendation

Recently, many Sequential Recommendation methods adopt self-attention mechanisms to model user preferences. However, these methods tend to focus more on low-frequency information while neglecting high-frequency information, w... | Find, read and cite all the research you need on Tech Science Press

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Publication Details

Journal
Computers, materials & continua/Computers, materials & continua (Print)
Published
2025-01-01
DOI
https://doi.org/10.32604/cmc.2025.062599
Primary Topic
Recommender Systems and Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

HyTiFRec: Hybrid Time-Frequency Dual-Branch Transformer for Sequential Recommendation

Peng Wu, Dawei Qiu, Renjie Xu, Xiaoming Zhang
Computers, materials & continua/Computers, materials & continua (Print)
Recommender Systems and Techniques
article

HyTiFRec: Hybrid Time-Frequency Dual-Branch Transformer for Sequential Recommendation

Peng Wu, Dawei Qiu, Renjie Xu, Xiaoming Zhang
article en

Abstract

Recently, many Sequential Recommendation methods adopt self-attention mechanisms to model user preferences. However, these methods tend to focus more on low-frequency information while neglecting high-frequency information, w... | Find, read and cite all the research you need on Tech Science Press

Computers, materials & continua/Computers, materials & continua (Print)Vol. 83(2)
Natural Science Foundation of Zhejiang Province
Openalex Percentile: Top 90%
Recommender Systems and Techniques
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