Item-based collaborative ranking

作者：

Highlights：

• PreNIt is the first item-based approach for neighborhood collaborative ranking.

• PreNit models the users choice contexts as bipartite networks with labeled edges.

• PreNit uses a novel ranking algorithm in bipartite networks, called MemoRank.

• MemoRank models the behavior of a random surfer with one-step memory.

摘要

•PreNIt is the first item-based approach for neighborhood collaborative ranking.•PreNit models the users choice contexts as bipartite networks with labeled edges.•PreNit uses a novel ranking algorithm in bipartite networks, called MemoRank.•MemoRank models the behavior of a random surfer with one-step memory.

论文关键词：Collaborative ranking,Pairwise preference,Item-based recommendation,Random walk

论文评审过程：Received 20 August 2017, Revised 10 March 2018, Accepted 9 April 2018, Available online 13 April 2018, Version of Record 12 May 2018.

论文官网地址：https://doi.org/10.1016/j.knosys.2018.04.012