GUANGYUAN PIAO

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20 SlideShares 2 Clipboards 34 Followers 115 Folgens

20 SlideShares 2 Clipboards 34 Followers 115 Folgens

semantic web recommendation linked data user modeling deep learning personalization user interest profiles twitter owl recommender systems social media primer env2vec software testing vnf deep neural networks challenge eswc eswc2018 cnn gru review sentiment analysis sentiment classification entity embeddings knowledge graph knowledge base social network retweet prediction neural network attention linked open data dbpedia factorization machines list memberships passive users knowledge management linkedin learning mooc google+ semantic similarity facebook semantic distance machine learning type prediction basic rdfa overview 2.0 hdd ssd disruptive technology

Aktivität
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Hdd industry

Vor 9 Jahren • 1125 Aufrufe

OWL2.0 Primer Part02

Vor 9 Jahren • 763 Aufrufe

OWL 2.0 Primer Part01

Vor 9 Jahren • 743 Aufrufe

Owl 2.0 Overview

Vor 9 Jahren • 1320 Aufrufe

RDFa Basics

Vor 9 Jahren • 1254 Aufrufe

Analyzing User Modeling on Twitter for Personalized News Recommendations

Vor 8 Jahren • 10460 Aufrufe

JIST2015-data challenge

Vor 7 Jahren • 10487 Aufrufe

JIST2015-Computing the Semantic Similarity of Resources in DBpedia for Recommendation Purposes

Vor 7 Jahren • 11364 Aufrufe

SAC2016-Measuring Semantic Distance for Linked Open Data-enabled Recommender Systems

Vor 7 Jahren • 1562 Aufrufe

UMAP2016 - Analyzing Aggregated Semantics-enabled User Modeling on Google+ and Twitter for Personalized Link Recommendations

Vor 7 Jahren • 1785 Aufrufe

SEMANTiCS2016 - Exploring Dynamics and Semantics of User Interests for User Modeling on Twitter for Link Recommendations

Vor 7 Jahren • 1371 Aufrufe

EKAW2016 - Interest Representation, Enrichment, Dynamics, and Propagation: A Study of the Synergetic Effect of Different User Modeling Dimensions for Personalized Recommendations on Twitter

Vor 6 Jahren • 1690 Aufrufe

ECIR2017-Inferring User Interests for Passive Users on Twitter by Leveraging Followee Biographies

Vor 6 Jahren • 756 Aufrufe

Hypertext2017-Leveraging Followee List Memberships for Inferring User Interests for Passive Users on Twitter

Vor 6 Jahren • 1732 Aufrufe

WISE2017 - Factorization Machines Leveraging Lightweight Linked Open Data-enabled Features for Top-N Recommendations

Vor 5 Jahren • 383 Aufrufe

Retweet Prediction with Attention-based Deep Neural Network

Vor 5 Jahren • 928 Aufrufe

A Study of the Similarities of Entity Embeddings Learned from Different Aspects of a Knowledge Base for Item Recommendations

Vor 5 Jahren • 236 Aufrufe

Domain-Aware Sentiment Classification with GRUs and CNNs

Vor 5 Jahren • 311 Aufrufe

Env2Vec: Accelerating VNF Testing with Deep Learning

Vor 3 Jahren • 270 Aufrufe

UMAP2016EA - Analyzing MOOC Entries of Professionals on LinkedIn for User Modeling and Personalized MOOC Recommendations

Vor 7 Jahren • 1516 Aufrufe

VoLTE Flows and CS network

Karel Berkovec • Vor 5 Jahren

VoLTE flows - basics

Karel Berkovec • Vor 5 Jahren

Papers that Win Acceptance: Lessons from a quarter of a century of rejections.

Andrea G. B. Tettamanzi • Vor 3 Jahren

Device Twins, Digital Twins and Device Shadow

Estelle Auberix • Vor 4 Jahren

Deep Learning for Recommender Systems RecSys2017 Tutorial

Alexandros Karatzoglou • Vor 6 Jahren

How to supervise your supervisor?

Fabien Gandon • Vor 7 Jahren

Deep Learning for Personalized Search and Recommender Systems

Benjamin Le • Vor 6 Jahren

What happened to the Semantic Web?

Peter Mika • Vor 6 Jahren

Neighbor methods vs matrix factorization - case studies of real-life recommendations (Gravity LSRS2015 RECSYS 2015)

Domonkos Tikk • Vor 8 Jahren

Steffen Rendle, Research Scientist, Google at MLconf SF

MLconf • Vor 8 Jahren

Matrix Factorization Techniques For Recommender Systems

Lei Guo • Vor 11 Jahren

Factorization Machines with libFM

Liangjie Hong • Vor 10 Jahren

How to survive your PhD

foreveribmer • Vor 6 Jahren

Semantics-aware Techniques for Social Media Analysis, User Modeling and Recommender Systems - Tutorial @UMAP 2016

Cataldo Musto • Vor 7 Jahren

Recommender Systems (Machine Learning Summer School 2014 @ CMU)

Xavier Amatriain • Vor 9 Jahren

Recommender Systems and Linked Open Data

Polytechnic University of Bari • Vor 8 Jahren

Social Media Personality Types

adrian chan • Vor 14 Jahren

UMAP 2013 - Link, Like, Follow, Friend: The Social Element in User Modeling and Adaptation

gjhouben • Vor 10 Jahren

How to find right institution & advisor for your research

foreveribmer • Vor 9 Jahren

Adding More Semantics to the Social Web

John Breslin • Vor 8 Jahren

On Beyond OWL: challenges for ontologies on the Web

James Hendler • Vor 7 Jahren

Dbrec - Music recommendations using DBpedia

Alexandre Passant • Vor 12 Jahren

Automatic Selection of Linked Open Data features in Graph-based Recommender Systems

Cataldo Musto • Vor 8 Jahren

Social Recommender Systems Tutorial - WWW 2011

idoguy • Vor 12 Jahren

Establishing and Managing IT Education Center in the Developing Country

Byeongguk Ku • Vor 8 Jahren

How Watson Works

kcortis • Vor 8 Jahren

Social Networks and the Semantic Web: a retrospective of the past 10 years

Peter Mika • Vor 8 Jahren

SIOC in Actions - representing the dynamics of online comminities

Pierre-Antoine Champin • Vor 13 Jahren

Gephi Tutorial Layouts

Gephi Consortium • Vor 12 Jahren

insight-centre-galway-learning-analytics

Simon Buckingham Shum • Vor 10 Jahren

semantic web recommendation linked data user modeling deep learning personalization user interest profiles twitter owl recommender systems social media primer env2vec software testing vnf deep neural networks challenge eswc eswc2018 cnn gru review sentiment analysis sentiment classification entity embeddings knowledge graph knowledge base social network retweet prediction neural network attention linked open data dbpedia factorization machines list memberships passive users knowledge management linkedin learning mooc google+ semantic similarity facebook semantic distance machine learning type prediction basic rdfa overview 2.0 hdd ssd disruptive technology