Topic Modeling: Beyond Bag-of-Words

ICML
2006-09
885
小木 发布于 2017/05/05 21:24:45
LDA,主题模型

Hidden Topic Markov Models

AISTATS
2007-09
731
小木 发布于 2017/05/05 20:51:33
LDA,主题模型

The Multidimensional Wisdom of Crowds

NIPS
2010-09
858
小木 发布于 2017/05/04 17:26:50
众包,信息融合,数据标注

Modelling Relational Data using Bayesian Clustered Tensor Factorization

NIPS
2009-09
887
小木 发布于 2017/04/24 10:27:12
Tensor Factorization, Clustering, Bayesian

Crowdclustering

NIPS
2011-09
554
小木 发布于 2017/04/22 10:40:50
众包,聚类

Crowdsourced Data Management: A Survey

TKDE
2016-09
1031
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
704
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
710
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
799
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
1914
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
3336
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
561
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
773
小木 发布于 2017/02/09 21:29:49
信息融合,数据标注