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Learning Item Trees for Probabilistic Modelling of Implicit Feedback

Learning Item Trees for Probabilistic Modelling of Implicit Feedback

27 September 2011
A. Mnih
Yee Whye Teh
ArXiv (abs)PDFHTML

Papers citing "Learning Item Trees for Probabilistic Modelling of Implicit Feedback"

5 / 5 papers shown
Title
Dynamic-K Recommendation with Personalized Decision Boundary
Dynamic-K Recommendation with Personalized Decision Boundary
Yan Gao
Jiafeng Guo
Yanyan Lan
Huaming Liao
26
1
0
25 Dec 2020
DeepCF: A Unified Framework of Representation Learning and Matching
  Function Learning in Recommender System
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System
Zhi-Hong Deng
Ling Huang
Changdong Wang
Jianhuang Lai
Philip S. Yu
51
160
0
15 Jan 2019
Integrating Reviews into Personalized Ranking for Cold Start
  Recommendation
Integrating Reviews into Personalized Ranking for Cold Start Recommendation
Guangneng Hu
Xin-Yu Dai
40
14
0
31 Jan 2017
Sherlock: Sparse Hierarchical Embeddings for Visually-aware One-class
  Collaborative Filtering
Sherlock: Sparse Hierarchical Embeddings for Visually-aware One-class Collaborative Filtering
Ruining He
Chunbin Lin
Jianguo Wang
Julian McAuley
65
65
0
20 Apr 2016
Scalable Bayesian Modelling of Paired Symbols
Scalable Bayesian Modelling of Paired Symbols
Ulrich Paquet
Noam Koenigstein
Ole Winther
73
2
0
09 Sep 2014
1