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

Interactive Topic Modeling

Machine Learning
2014-06
2266
小木 发布于 2017/02/06 09:55:36
LDA,人机交互,主题模型

Explicit factor models for explainable recommendation based on phrase-level sentiment analysis

ACM
2014-07
3611
Vanessa He 发布于 2017/10/16 09:46:29
Recommender Systems,Sentiment Analysis,Collaborative Filtering,Recommendation Explanation

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

Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering

CIKM
2014-12
2149
Vanessa He 发布于 2017/03/01 16:57:16
Social Networks, Recommender Systems, Personalized Ranking,SBPR

Making the Most of Crowdsourced Document Annotations: Confused Supervised LDA

CoNLL
2015-09
2623
小木 发布于 2017/02/06 09:46:55
LDA,主题模型,信息融合

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

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

Economic Recommendation with Surplus Maximization

2016 International Conference on World Wide Web
2016-04
2621
Vanessa He 发布于 2017/11/23 15:54:05
Total Surplus Maximization,Online Service Allocation,Computational Economics,Recommendation Systems; Web-based Services

Who should you follow? Combining learning to rank with social influence for informative friend recommendation

DSS(Decision Support Systems)
2016-06
2524
Vanessa He 发布于 2017/06/08 22:05:33
Recommendation systems,Learning to rank,Social influence,Matrix factorization,friend recommendation

121

2111121
2016-09
2423
ASAA 发布于 2020/03/23 17:21:24
1212

Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering

WWW
2016-09
3163
Vanessa He 发布于 2017/05/23 16:46:14
Recommender Systems,Fashion Evolution,Personalized Ranking,Visual Dimensions

Crowdsourced Data Management: A Survey

TKDE
2016-09
3049
小木 发布于 2017/04/20 20:50:51
众包,信息融合,综述

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

A solution to the single-question crowd wisdom problem

Nature
2017-01
2871
小木 发布于 2017/02/06 09:57:16
信息融合,群体智慧