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A Hybrid Multigroup Coclustering Recommendation Framework Based on Information Fusion

Shanshan Huang, Jun Ma, Peizhe Cheng, Shuaiqiang Wang
2015 ACM Transactions on Intelligent Systems and Technology  
A hybrid multigroup coclustering recommendation framework based on information fusion.  ...  In this article, we propose HMCoC, a Hybrid Multigroup CoClustering recommendation framework, which can cluster users and items into multiple groups simultaneously with different information resources.  ...  HYBRID MULTIGROUP COCLUSTERING RECOMMENDATION FRAMEWORK Overview As illustrated in Figure 1 , our framework is composed of three main modules: information fusion, hybrid multigroup coclustering, and  ... 
doi:10.1145/2700465 fatcat:dj3ngpceurbthbzxmtbzd4exsy

DeepFusion: Fusing User-Generated Content and Item Raw Content towards Personalized Product Recommendation

Mingxin Gan, Hang Zhang
2020 Complexity  
In addition, we further explore the relative importance of various item metadata information on improving the rating prediction performance towards personalized product recommendation, which is extremely  ...  Personalized recommender systems, as effective approaches for alleviating information overload, have received substantial attention in the last decade.  ...  [25] constructed a hybrid multigroup coclustering recommendation framework to cluster users and items into multiple categories simultaneously, which fully utilized various data sources including ratings  ... 
doi:10.1155/2020/4780191 fatcat:r5pixfcteze3hi46bdouxjnlp4