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

Internet Research
2011-04
1465
Vanessa He 发布于 2017/02/13 16:30:56
Social relationships,membership,friendship, factorization, regularization

Crowdclustering

NIPS
2011-09
1595
小木 发布于 2017/04/22 10:40:50
众包,聚类

Incorporating Domain Knowledge into Topic Modeling via Dirichlet Forest Priors

ICML
2009-09
1896
小木 发布于 2017/02/06 09:55:50
主题模型,领域知识

Author Topic Model-Based Collaborative Filtering for Personalized POI Recommendations

IEEE Transactions on Multimedia
2015-09
1911
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

vue与iview

人民日报
2018-09
1935
dankin 发布于 2018/09/17 14:35:54
vue,iview

httpClient入门到精通

人民日报
2018-09
1982
dankin 发布于 2018/09/15 21:16:53

Forecast aggregation via recalibration

Machine Learning
2014-06
2001
小木 发布于 2017/02/06 09:57:52
群体智慧,信息融合

Improving Topic Coherence with Regularized Topic Models

NIPS
2011-09
2035
小木 发布于 2017/02/06 09:56:42
主题模型,LDA,正则项

Mining Topics in Documents: Standing on the Shoulders of Big Data

KDD
2014-08
2060
小木 发布于 2017/02/06 09:56:28
LDA,主题模型

Learning from multiple annotators with varying expertise

Machine Learning
2014-06
2073
小木 发布于 2017/02/06 09:55:17
信息融合,群体智慧

Unanimity and compromise among probability forecasters

Management science
1990-07
2077
小木 发布于 2017/02/06 09:57:33
预测,群体智慧,信息融合

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

PNAS
2016-12
2101
Vanessa He 发布于 2017/03/17 10:21:26
recommender systems,stochastic block model,collaborative filtering,social recommendation, scalable algorithm

Efficient Crowdsourcing for Multi-class Labeling

ACM SIGMETRICS Performance Evaluation Review
2013-06
2114
小木 发布于 2017/02/07 10:30:31
信息融合,多标签融合,众包

SustainMe if you can: Sustainable transmission networking design for Big Data

IEEE INFOCOM
2016-04
2128
Jade 发布于 2017/10/22 00:22:42
Big Data; Energy efficiency; Service Resiliency, Survivable routing; Shared backup path protection; ILP

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