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Modelling Relational Data using Bayesian Clustered Tensor Factorization

NIPS
2009-09
241
小木 发布于 2017/04/24 10:27:12
Tensor Factorization, Clustering, Bayesian

Crowdclustering

NIPS
2011-09
218
小木 发布于 2017/04/22 10:40:50
众包,聚类

Crowdsourced Data Management: A Survey

TKDE
2016-09
284
小木 发布于 2017/04/20 20:50:51
众包,信息融合,综述

Author Topic Model-Based Collaborative Filtering for Personalized POI Recommendations

IEEE Transactions on Multimedia
2015-09
287
Vanessa He 发布于 2017/04/15 18:28:52
travel recommendation,POI recommendation,author topic model,location- based collaborative filtering,coarse-to-fine

What Your Images Reveal- Exploiting Visual Contents for Point-of-Interest Recommendation

POI recommendation,Visual contents,Location-based Social Networks

Accurate and scalable social recommendation using mixed-membership stochastic block models

PNAS
2016-12
257
Vanessa He 发布于 2017/03/17 10:21:26
recommender systems,stochastic block model,collaborative filtering,social recommendation, scalable algorithm

Multi-Relational Matrix Factorization using Bayesian Personalized Ranking for Social Network Data

MRBPR,Recommender Systems, Cold-Start, Multi-Relational Learn-ing, Social Network, Matrix Factorization, Item Prediction, Item Recommendation, Ranking, Joint Factorization

Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering

CIKM
2014-12
442
Vanessa He 发布于 2017/03/01 16:57:16
Social Networks, Recommender Systems, Personalized Ranking,SBPR

BPR: Bayesian Personalized Ranking from Implicit Feedback

Conference on Uncertainty in Artificial Intelligence
2009-12
1006
Vanessa He 发布于 2017/02/27 21:06:29
个性化排序,贝叶斯优化准则,LearnBPR学习算法,矩阵分解,BPRMF

BPR: Bayesian Personalized Ranking from Implicit Feedback

UAI
2009-09
1903
小木 发布于 2017/02/14 22:15:49
个性化推荐,贝叶斯,矩阵分解,统计

Factorization vs. Regularization- Fusing Heterogeneous Social Relationships in Top-N Recommendation

Internet Research
2011-04
258
Vanessa He 发布于 2017/02/13 16:30:56
Social relationships,membership,friendship, factorization, regularization

Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise

NIPS
2009-09
260
小木 发布于 2017/02/09 21:29:49
信息融合,数据标注

Collaborative Filtering for Implicit Feedback Datasets

协同过滤,隐式反馈,WRMF

Information Aggregation Mechanisms: Concept, Design and Implementation for a Sales Forecasting Problem

working paper
2002-09
238
小木 发布于 2017/02/09 15:27:37
信息融合,预测市场

Maximum Likelihood Estimation of Observer Error-rates using the EM Algorithm

Applied statistics
1979-09
361
小木 发布于 2017/02/07 16:16:12
信息融合,错误校正