Improving Accuracy and Scalability of Personal Recommendation Based on Bipartite Network Projection
Bipartite network projection method has been recently employed for personal recommendation. It constructs a bipartite network between users and items. Treating user taste for items as resource in the network, we allocate the resource via links between user nodes and item nodes. However, the taste mo...
Main Authors: | Fengjing Yin, Xiang Zhao, Xin Zhang, Bin Ge, Weidong Xiao |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2014-01-01
|
Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2014/823749 |
Similar Items
-
Mixed Similarity Diffusion for Recommendation on Bipartite Networks
by: Ximeng Wang, et al.
Published: (2017-01-01) -
The Bipartite Network Projection-Recommended Algorithm for Predicting Long Non-coding RNA-Protein Interactions
by: Qi Zhao, et al.
Published: (2018-12-01) -
The Bipartite-Splittance of a Bipartite Graph
by: Yin Jian-Hua, et al.
Published: (2019-02-01) -
Improving Scalability of Personalized Recommendation Systems for Enterprise Knowledge Workers
by: Chetan Verma, et al.
Published: (2016-01-01) -
Bipartite RankBoost+: An Improvement to Bipartite RankBoost
by: Zhang, Ganqin
Published: (2021)