Sequence Recommendation Algorithm Based on Contrastive

Weibo become a important social and service platform in people's daily life, as social network grow fast and popular, it create lots of valuable informations. Users can through this platform efficient get many dimensions news about social hot topics and industry trends, this can good satisfy personal information consumption needs. As a communication and sharing medium in internet resources, Weibo's obvious and hidden value informations is deeply affect modern life now, and it integration into people's daily routine make information get more easier than before, also the platform let user share and exchange ideas quickly, this create a new way for people connect with world and stay inform about what happening around them.

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Publication Details

Journal
Applied and Computational Engineering
Published
2026-11-10
DOI
https://doi.org/10.54254/2755-2721/2026.38758
Primary Topic
Recommender Systems and Techniques
Type
article
Field-Weighted Citation Impact
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article

Sequence Recommendation Algorithm Based on Contrastive

Mou Yanji, Zhan Farun, Yang Qian
Applied and Computational Engineering
Recommender Systems and Techniques
article

Sequence Recommendation Algorithm Based on Contrastive

Mou Yanji, Zhan Farun, Yang Qian
article en

Abstract

Weibo become a important social and service platform in people's daily life, as social network grow fast and popular, it create lots of valuable informations. Users can through this platform efficient get many dimensions news about social hot topics and industry trends, this can good satisfy personal information consumption needs. As a communication and sharing medium in internet resources, Weibo's obvious and hidden value informations is deeply affect modern life now, and it integration into people's daily routine make information get more easier than before, also the platform let user share and exchange ideas quickly, this create a new way for people connect with world and stay inform about what happening around them.

Applied and Computational EngineeringVol. 280(1)
Anhui University (CN)
Recommender Systems and Techniques
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