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Probabilistic Models for Unified Collaborative and Content-Based
  Recommendation in Sparse-Data Environments

Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments

10 January 2013
Alexandrin Popescul
L. Ungar
David M. Pennock
S. Lawrence
ArXiv (abs)PDFHTML

Papers citing "Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments"

14 / 14 papers shown
Title
Neural Click Models for Recommender Systems
Neural Click Models for Recommender Systems
Mikhail Shirokikh
Ilya Shenbin
Anton M. Alekseev
Anna Volodkevich
Alexey Vasilev
Andrey Savchenko
Sergey I. Nikolenko
LRM3DV
54
2
0
30 Sep 2024
Non-IID Recommender Systems: A Review and Framework of Recommendation
  Paradigm Shifting
Non-IID Recommender Systems: A Review and Framework of Recommendation Paradigm Shifting
LongBing Cao
CML
57
49
0
01 Jul 2020
Robust Federated Recommendation System
Robust Federated Recommendation System
Chen Chen
Jingfeng Zhang
A. Tung
Mohan Kankanhalli
Gang Chen
FedML
91
28
0
15 Jun 2020
Recommender Systems with Heterogeneous Side Information
Recommender Systems with Heterogeneous Side Information
Tianqiao Liu
Z. Wang
Jiliang Tang
Songfan Yang
Gale Yan Huang
Zitao Liu
31
38
0
18 Jul 2019
Robust Cost-Sensitive Learning for Recommendation with Implicit Feedback
Robust Cost-Sensitive Learning for Recommendation with Implicit Feedback
Peng Yang
P. Zhao
Xin Gao
Yong Liu
67
20
0
03 Jul 2017
Automatic Text Summarization Approaches to Speed up Topic Model Learning
  Process
Automatic Text Summarization Approaches to Speed up Topic Model Learning Process
Mohamed Morchid
Juan-Manuel Torres-Moreno
Richard Dufour
J. R. Rodríguez
G. Linarès
31
2
0
20 Mar 2017
Feature extraction using Latent Dirichlet Allocation and Neural
  Networks: A case study on movie synopses
Feature extraction using Latent Dirichlet Allocation and Neural Networks: A case study on movie synopses
Despoina Christou
21
6
0
05 Apr 2016
Collaborative Ensemble Learning: Combining Collaborative and
  Content-Based Information Filtering via Hierarchical Bayes
Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes
Kai Yu
Anton Schwaighofer
Volker Tresp
Wei-Ying Ma
HongJiang Zhang
FedML
84
84
0
19 Oct 2012
Multi-Domain Collaborative Filtering
Multi-Domain Collaborative Filtering
Yu Zhang
Bin Cao
Dit-Yan Yeung
113
178
0
15 Mar 2012
Estimating Probabilities in Recommendation Systems
Estimating Probabilities in Recommendation Systems
Mingxuan Sun
Guy Lebanon
P. Kidwell
79
41
0
02 Dec 2010
Recommender Systems for the Conference Paper Assignment Problem
Recommender Systems for the Conference Paper Assignment Problem
Don Conry
Y. Koren
Naren Ramakrishnan
98
64
0
22 Jun 2009
Modeling Social Annotation: a Bayesian Approach
Modeling Social Annotation: a Bayesian Approach
Anon Plangprasopchok
Kristina Lerman
97
18
0
09 Nov 2008
Personalizing Image Search Results on Flickr
Personalizing Image Search Results on Flickr
Kristina Lerman
Anon Plangprasopchok
Chio Wong
546
70
0
12 Apr 2007
Exploiting Social Annotation for Automatic Resource Discovery
Exploiting Social Annotation for Automatic Resource Discovery
Anon Plangprasopchok
Kristina Lerman
568
43
0
12 Apr 2007
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