WSDM-23: Opening

(14:41)

WSDM-23 Tutorials: Trustworthy Algorithmic Ranking Systems

(3:4:53)

WSDM-23 Workshops: Trustworthy Natural Language Processing with Knowledge Guidance

(42:53)

WSDM-23 Paper: Self-supervised Graph Representation Learning for Black Market Account Detection

(10:53)

WSDM-23 Tutorials: AutoML for Deep Recommender Systems: Fundamentals and Advances

(2:46:51)

WSDM-23 Workshops: Balancing Accuracy and Fairness for Interactive Recommendation

(14:41)

WSDM-23 Tutorials: A Tutorial on Domain Generalization

(2:35:22)

[KDD 2023 Tutorial] Data-centric AI: Techniques and Future Perspectives

(3:19:25)

KDD 2023 - Opening Session

(33:12)

Secure your API Gateway with Amazon Cognito User Pools | Step by Step AWS Tutorial

(31:18)

Wednesdays in Wiedemann with Lynne Davis - October 11, 2023

(32:27)

WSDM-23 Tutorials: Proactive Conversational Agents

(2:34:33)

AWS S3 + Lambda +DynamoDB | Upload S3 Data Into DynamoDB by Lambda Function trigger by Data upload

(24:31)

Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 7.3 - Stacking layers of a GNN

(18:11)

How to Build a File Upload System on AWS with React and a Serverless API | Lambda, S3, API Gateway

(31:25)

Bridging the Gap: Integrating Knowledge Graphs and Large Language Models

(33:3)

WSDM-23 Workshops: Cross-Correlated Graph Neural Networks - Theory and Applications

(37:6)

WSDM-23 Workshops: Towards Trustworthy Recommender Systems: Models, Vulnerabilities and Robustness

(37:20)

WSDM-23 Industry day: Simulating Humans at Scale to Evaluate Voice Interfaces for TVs

(26:1econd)

WSDM-23 Workshops: Adaptation of User Preferences and Results in a Destination Recommender System

(12:39)

WSDM-23 Paper: Dynamic Intent Guided Meta Network for Differentiated User Engagement Forecasting

(14:7)

WSDM-23 Tutorials: Data Democratisation with Deep Learning

(2:13:2)

WSDM-23 Workshops: Assess the effectiveness of item-based explanations of merchant recommendation

(10:22)

WSDM-23 Workshops: Deep Graph Learning: Data, Methods, and Applications

(35:23)

WSDM-23 Workshops: Graphs: Privacy and Generation through ML

(8:44)

WSDM-23 Workshops: Improving Recommendation Systems with User Personality

(14:30)

WSDM-23 Tutorials: Natural and Artificial Dynamics in GNNs: A Tutorial

(2:58:9)

WSDM-23 Workshops: Counterfactual Explanations for Visual Recommender Systems

(12:15)

WSDM-23 Workshops: Disparate effects of recommender systems

(47:)

WSDM-23 Tutorials: Next-generation Challenges of Responsible Data Integration

(2:32:34)