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- Chinese Academy of SciencesCN296 papers
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15 papers · 1 filter
Beyond Patches: Superpixel Token-based Transformers for Attribute-Specific Fashion Retrieval
Shuili Zhang, Hongzhang Mu, Wenyuan Zhang +2
Attribute-Specific Fashion Retrieval (ASFR) aims to improve fine-grained image retrieval by focusing on specific attributes. However, existing patch-based attention and Transformer…
Personalized Multi-Interest Modeling for Cross-Domain Recommendation to Cold-Start Users
Xiaodong Li, Jiawei Sheng, Jiangxia Cao +6
Cross-domain recommendation (CDR) has demonstrated to be an effective solution for alleviating the user cold-start issue. By leveraging rich user-item interactions available in a r…
CDRNP: Cross-Domain Recommendation to Cold-Start Users via Neural Process
Xiaodong Li, Jiawei Sheng, Jiangxia Cao +3
Cross-domain recommendation (CDR) has been proven as a promising way to tackle the user cold-start problem, which aims to make recommendations for users in the target domain by tra…
Contrastive Cross-Domain Sequential Recommendation
Jiangxia Cao, Xin Cong, Jiawei Sheng +2
Cross-Domain Sequential Recommendation (CDSR) aims to predict future interactions based on user's historical sequential interactions from multiple domains. Generally, a key challen…
Learning Explicit User Interest Boundary for Recommendation
Jianhuan Zhuo, Qiannan Zhu, Yinliang Yue +1
The core objective of modelling recommender systems from implicit feedback is to maximize the positive sample score and minimize the negative sample score , which can us…
Exploring Periodicity and Interactivity in Multi-Interest Framework for Sequential Recommendation
Gaode Chen, Xinghua Zhang, Yanyan Zhao +2
Sequential recommendation systems alleviate the problem of information overload, and have attracted increasing attention in the literature. Most prior works usually obtain an overa…