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

Internet Research
2011-04
1316
Vanessa He 发布于 2017/02/13 16:30:56
Social relationships,membership,friendship, factorization, regularization

Crowdclustering

NIPS
2011-09
1399
小木 发布于 2017/04/22 10:40:50
众包,聚类

Forecast aggregation via recalibration

Machine Learning
2014-06
1619
小木 发布于 2017/02/06 09:57:52
群体智慧,信息融合

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

KDD
2014-08
1660
小木 发布于 2017/02/06 09:56:28
LDA,主题模型

Author Topic Model-Based Collaborative Filtering for Personalized POI Recommendations

IEEE Transactions on Multimedia
2015-09
1670
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

Improving Topic Coherence with Regularized Topic Models

NIPS
2011-09
1676
小木 发布于 2017/02/06 09:56:42
主题模型,LDA,正则项

Unanimity and compromise among probability forecasters

Management science
1990-07
1693
小木 发布于 2017/02/06 09:57:33
预测,群体智慧,信息融合

Incorporating Domain Knowledge into Topic Modeling via Dirichlet Forest Priors

ICML
2009-09
1713
小木 发布于 2017/02/06 09:55:50
主题模型,领域知识

Learning from multiple annotators with varying expertise

Machine Learning
2014-06
1749
小木 发布于 2017/02/06 09:55:17
信息融合,群体智慧

Efficient Crowdsourcing for Multi-class Labeling

ACM SIGMETRICS Performance Evaluation Review
2013-06
1754
小木 发布于 2017/02/07 10:30:31
信息融合,多标签融合,众包

Hidden Topic Markov Models

AISTATS
2007-09
1760
小木 发布于 2017/05/05 20:51:33
LDA,主题模型

vue与iview

人民日报
2018-09
1771
dankin 发布于 2018/09/17 14:35:54
vue,iview

httpClient入门到精通

人民日报
2018-09
1810
dankin 发布于 2018/09/15 21:16:53

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

working paper
2002-09
1811
小木 发布于 2017/02/09 15:27:37
信息融合,预测市场

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

PNAS
2016-12
1817
Vanessa He 发布于 2017/03/17 10:21:26
recommender systems,stochastic block model,collaborative filtering,social recommendation, scalable algorithm