1k citations · 2.7k across the 52 of their papers we have counts for
5 papers · 1 filter
ILCR: Item-based Latent Factors for Sparse Collaborative Retrieval
Lu Yu, Junming Huang, Chuang Liu +1
Interactions between search and recommendation have recently attracted significant attention, and several studies have shown that many potential applications involve with a joint p…
Evolution of citation networks with the hypergraph formalism
Feng Hu, Hai-Xing Zhao, Xiu-Xiu Zhan +2
In this paper, we proposed an evolving model via the hypergraph to illustrate the evolution of the citation network. In the evolving model, we consider the mechanism combined with…
Promoting cold-start items in recommender systems
Jin-Hu Liu, Tao Zhou, Zi-Ke Zhang +3
As one of major challenges, cold-start problem plagues nearly all recommender systems. In particular, new items will be overlooked, impeding the development of new products online.…
Multi-Linear Interactive Matrix Factorization
Lu Yu, Chuang Liu, Zi-Ke Zhang
Recommender systems, which can significantly help users find their interested items from the information era, has attracted an increasing attention from both the scientific and app…
Information Filtering on Coupled Social Networks
Da-Cheng Nie, Zi-Ke Zhang, Jun-lin Zhou +2
In this paper, based on the coupled social networks (CSN), we propose a hybrid algorithm to nonlinearly integrate both social and behavior information of online users. Filtering al…