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2018-Graph Convolutional Neural Networks for Web-Scale Recommender Systems.pdf下载
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2018-Graph Convolutional Neural Networks for Web-Scale Recommender Systems
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2018-Graph Convolutional Neural Networks for Web-Scale Recommender Systems 相关下载链接://download.csdn.net/download/qq_31367595/11235846?utm_source=bbsseo
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2018
-
Graph
Convolution
al
Neur
al
Networks
for
Web
-
Sc
al
e
Re
com
mender
Systems.
pdf
2018
-
Graph
Convolution
al
Neur
al
Networks
for
Web
-
Sc
al
e
Re
com
mender
Systems
Hybird AI System 13th Internation
al
conference
Hybrid Artifici
al
Intelligent Systems: 13th Internation
al
Conference, HAIS
2018
, Oviedo, Spain, June 20-22,
2018
, Proceedings (Lecture Notes in
Com
puter Science) This volume constitutes the refereed proceedings of the 13th Internation
al
Conference on Hybrid Artifici
al
Intelligent Systems, HAIS
2018
, held in Oviedo, Spain, in June
2018
. The 62 full papers published in this volume were carefully reviewed and selected from 104 submissions. They are organized in the following topic
al
sections: Neuro
com
puting, fuzzy systems, rough sets, evolutionary
al
gorithms, Agents and Multiagent Systems, and
al
ike. Table of Contents Chapter 1. A Deep Learning-Based Re
com
mendation System to Enable End User Access to Financi
al
Linked Knowledge Chapter 2. On the Use of Random Discretization and Dimension
al
ity Reduction in Ensembles for Big Data Chapter 3. Hybrid Deep Learning Based on GAN for Classifying BSR Noises from Invehicle Sensors Chapter 4. Inferring User Expertise from Soci
al
Tagging in Music Re
com
mender
Systems for Streaming Services Chapter 5. Learning Logic
al
Definitions of n-Ary Relations in
Graph
Databases Chapter 6. GAparsimony: An R Package for Searching Parsimonious Models by
Com
bining Hyperparameter Optimization and Feature Selection Chapter 7. Improving Adaptive Optics Reconstructions with a Deep Learning Approach Chapter 8.
Com
plexity of Rule Sets in Mining In
com
plete Data Using Characteristic Sets and Gener
al
ized Maxim
al
Consistent Blocks Chapter 9. Optimization of the University Transportation by Contraction Hierarchies Method and Clustering
Al
gorithms Chapter 10. Identification of Patterns in Blogosphere Considering Soci
al
Positions of Users and Reciprocity of Relations Chapter 11. SmartFD: A Re
al
Big Data Application for Electric
al
Fraud Detection Chapter 12. Multi-class Imb
al
anced Data Oversampling for Vertebr
al
Column Pathologies Classification Chapter 13. A Hybrid Genetic-Bootstrapping Approach to Link Resources in the
Web
of Data Chapter 14. Modelling and Forecasting of the 222Rn Radiation Level Time Series at the Canfranc Underground Laboratory Chapter 15. Sensor Fault Detection and Recovery Methodology for a Geotherm
al
Heat Exchanger Chapter 16. Distinctive Features of Asymmetric
Neur
al
Networks
with Gabor Filters Chapter 17. Tuning CNN Input Layout for IDS with Genetic
Al
gorithms Chapter 18. Improving the Accuracy of Prediction Applications by Efficient Tuning of Gradient Descent Using Genetic
Al
gorithms Chapter 19. Mono-mod
al
Medic
al
Image Registration with Cor
al
Reef Optimization Chapter 20. Ev
al
uating Feature Selection Robustness on High-Dimension
al
Data Chapter 21. Gener
al
ized Probability Distribution Mixture Model for Clustering Chapter 22. A Hybrid Approach to Mining Conditions Chapter 23. A First Attempt on Monotonic Training Set Selection Chapter 24. De
al
ing with Missing Data and Uncertainty in the Context of Data Mining Chapter 25. A Preliminary Study of Diversity in Extreme Learning Machines Ensembles Chapter 26. Orthogon
al
Learning Firefly
Al
gorithm Chapter 27. Multi-label Learning by Hyperparameters C
al
ibration for Treating Class Imb
al
ance Chapter 28. Drifted Data Stream Clustering Based on ClusTree
Al
gorithm Chapter 29. Featuring the Attributes in Supervised Machine Learning Chapter 30. Applying VorE
Al
for IoT Intrusion Detection Chapter 31. Ev
al
uation of a Wrist-Based Wearable F
al
l Detection Method Chapter 32. EnerVMAS: Virtu
al
Agent Organizations to Optimize Energy Consumption Using Intelligent Temperature C
al
ibration Chapter 33. Tool Wear Estimation and Visu
al
ization Using Image Sensors in Micro Milling Manufacturing Chapter 34.
Com
pensating Atmospheric Turbulence with
Convolution
al
Neur
al
Networks
for Defocused Pupil Image Wave-Front Sensors Chapter 35. Using Nonlinear Quantile Regression for the Estimation of Software Cost Chapter 36. A Distributed Drone-Oriented Architecture for In-Flight Object Detection Chapter 37. 3D Gabor Filters for Chest Segmentation in DCE-MRI Chapter 38. Fingertips Segmentation of Therm
al
Images and Its Potenti
al
Use in Hand Thermoregulation An
al
ysis Chapter 39. Listen to This: Music Re
com
mendation Based on One-Class Support Vector Machine Chapter 40. Improving Forecasting Using Information Fusion in Loc
al
Agricultur
al
Markets Chapter 41. Chord Progressions Selection Based on Song Audio Features Chapter 42. LearnSec: A Framework for Full Text An
al
ysis Chapter 43. A Mood An
al
ysis on Youtube
Com
ments and a Method for Improved Soci
al
Spam Detection Chapter 44. An Improved
Com
fort Biased Smart Home Load Manager for Grid Connected Homes Under Direct Load Control Chapter 45. Remifentanil Dose Prediction for Patients During Gener
al
Anesthesia Chapter 46. Classification of Prostate Cancer Patients and He
al
thy Individu
al
s by Means of a Hybrid
Al
gorithm
Com
bing SVM and Evolutionary
Al
gorithms Chapter 47. A Hybrid Deep Learning System of CNN and LRCN to Detect Cyberbullying from SNS
Com
ments Chapter 48. Taxonomy-Based Detection of User Emotions for Advanced Artifici
al
Intelligent Applications Chapter 49. Prediction of the Energy Demand of a Hotel Using an Artifici
al
Intelligence-Based Model Chapter 50. A Hybrid
Al
gorithm for the Prediction of
Com
puter Vision Syndrome in He
al
th Personnel Based on Trees and Evolutionary
Al
gorithms Chapter 51. An
Al
gorithm Based on Satellite Observations to Qu
al
ity Control Ground Solar Sensors: An
al
ysis of Spanish Meteorologic
al
Networks
Chapter 52. Predicting Glob
al
Irradiance
Com
bining Forecasting Models Through Machine Learning Chapter 53. A Hybrid
Al
gorithm for the Assessment of the Influence of Risk Factors in the Development of Upper Limb Musculoskelet
al
Disorders Chapter 54. Evolutionary
Com
putation on Road Safety Chapter 55. Memetic Modified Cuckoo Search
Al
gorithm with ASSRS for the SSCF Problem in Self-Similar Fract
al
Image Reconstruction Chapter 56. A Re-description Based Development
al
Approach to the Generation of V
al
ue Functions for Cognitive Robots Chapter 57. A Hybrid Iterated Loc
al
Search for Solving a Particular Two-Stage Fixed-Charge Transportation Problem Chapter 58. Change Detection in Multidimension
al
Data Streams with Efficient Tensor Subspace Model Chapter 59. A View of the State of the Art of Di
al
ogue Systems Chapter 60. An Adaptive Approach for Index Tuning with Learning Classifier Systems on Hybrid Storage Environments Chapter 61. Electric
al
Behavior Modeling of Solar Panels Using Extreme Learning Machines Chapter 62. A Hybrid Clustering Approach for Diagnosing Medic
al
Diseases
Re
com
mender
-Systems-Paper:推荐系统(RS)必读论文
推荐系统(RS) 6,点击率(CTR)预测 7,学习排名(LTR) 7.1成对LTR 7.2 Listwise LTR 8,基于图的推荐 8.1异构信息网络 8.2图神经网络 9,社会推荐 10.跨域推荐 11,团体推荐 12,冷启动建议 13.兴趣点(POI)建议 14,上下文感知推荐 15,顺序推荐 16,可解释的建议 17,会话推荐 18,其他 18.1评估指标 18.2网络嵌入 18.3推荐系统调查 协同过滤 [1992 CACM]使用协作过滤来编织信息挂毯。 [
PDF
] 最早提出了协同过滤(CF)。 基于邻域的 [1994 CSCW] UserCF: GroupLens:一种用于Netnews协同过滤的开放体系结构。 [
PDF
] [1995 CHI]社会信息过滤:用于自动化“口碑”的算法。 [
PDF
] [2001 WWW] ItemCF:基于项目的协
KGCN-pytorch:KGCN pytorch模型实现
KGCN-火炬 这是 ( )的Pytorch实现: 推荐系统的知识图卷积网络王宏伟,赵M,谢星,李文杰,郭敏仪。 在2019年网络会议论文集(WWW 2019)中 数据集 电影 电影的原始分级文件太大,无法包含在此仓库中。 首先对评级数据进行分类 $ wget http://files.grouplens.org/datasets/movielens/ml-20m.zip $ unzip ml-20m.zip $ mv ml-20m/ratings.csv data/movie/ 音乐 没事做 其他数据集 如果要使用自己的数据集,则需要准备2个数据。 评分数据 每行应包含(user-item-rating) 在此回购中,它是pandas数据框结构。 (看看data_loader.py ) 知识图 每个三元组(头-关系尾)由知识图组成 在此仓库中,它是字典类型。 (看看data_
Graph
Convolution
al
Neur
al
Networks
for
Web
-
Sc
al
e
Re
com
mender
Systems(用于
Web
级推荐系统的图形卷积神经网络)
Graph
Convolution
al
Neur
al
Networks
for
Web
-
Sc
al
e
Re
com
mender
Systems 用于
Web
级推荐系统的图形卷积神经网络 ABSTRACT Recent advancements in deep
neur
al
networks
for
graph
-structured data have led to state-of-the-art pe...
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