SIGformer: Sign-aware Graph Transformer for Recommendation
Explore sign-aware graph transformers for recommendation systems, enhancing accuracy through innovative graph-based techniques and transformer architectures.
Graded Relevance Scoring of Written Essays with Dense Retrieval - Tutorial 2.1
Explore dense retrieval techniques for graded relevance scoring of written essays, enhancing automated assessment in educational contexts.
UniSAR: Modeling User Transition Behaviors between Search and Recommendation - Session M3.6
Explore user transition behaviors between search and recommendation systems with UniSAR modeling, enhancing understanding of cross-platform user interactions.
To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process
Explore predicting user app-opening motivations using Neural Hawkes Process, enhancing search and recommendation systems for improved user experiences.
Adaptive In-Context Learning with Large Language Models for Bundle Generation - Recommendation Systems
Explore adaptive in-context learning techniques for bundle generation using large language models in recommendation systems.
Enhancing Dataset Search with Compact Data Snippets - SIGIR 2024
Explore techniques for improving dataset search using compact data snippets, enhancing discoverability and accessibility of valuable information resources.
DDPO: Direct Dual Propensity Optimization for Post-Click Conversion Rate Estimation - Session T1.3
Explore innovative techniques for post-click conversion rate estimation in online advertising using direct dual propensity optimization.
Hierarchical Semantics Alignment for 3D Human Motion Retrieval
Explore hierarchical semantics alignment techniques for efficient 3D human motion retrieval in this concise presentation on advanced computer vision applications.
Sequential Recommendation with Collaborative Explanation via Mutual Information Maximization - Lecture 1
Explore sequential recommendation with collaborative explanation, maximizing mutual information for enhanced explainability in search and recommendation systems.
Evaluating Search System Explainability with Psychometrics and Crowdsourcing - Tutorial 1.1
Explore psychometric and crowdsourcing techniques for evaluating search system explainability, enhancing understanding of user-centric explainable AI in information retrieval.
Modeling User Fatigue for Sequential Recommendation - Session M3.6
Explore innovative approaches to modeling user fatigue in sequential recommendation systems, enhancing user experience and engagement in digital platforms.
Behavior-Contextualized Item Preference Modeling for Multi-Behavior Recommendation
Explore advanced techniques in multi-behavior recommendation systems, focusing on behavior-contextualized item preference modeling for improved personalization and accuracy.
MDMTRec: An Adaptive Multi-Task Multi-Domain Recommendation Framework - SIGIR 2024
Explore an adaptive framework for multi-task, multi-domain recommendations, enhancing personalized content suggestions across various platforms and contexts.
Cross-cohort Analysis via Cloud Genomics - MPG Primer
Dive into cross-cohort analysis using cloud genomics, exploring trusted research environments, methodologies, and tools for efficient genetic data processing and interpretation.
Computational Protein Design and De Novo Design of Proteins
Explore computational approaches for designing functional proteins, including surface pattern analysis and de novo topology exploration, with applications in vaccine design, T-cell therapies, and biosensors.
Stochasticity in Transcription - MPG Primer 2023
Dive into stochasticity in transcription, exploring single-cell data, dynamic regulatory elements, and transcriptional bursting in autoimmune diseases. Gain insights into modeling techniques and gene regulatory programs.
Machine Learning about Sudden Cardiac Death from ECG Waveforms
Explore machine learning applications in predicting sudden cardiac death using ECG waveforms. Gain insights into innovative approaches combining AI and biomedical research for critical healthcare advancements.
Protein Design Using Deep Learning
Dive into protein design using deep learning with David Baker. Explore cutting-edge techniques and insights at the intersection of AI and biomedical research.
Neural Optimal Transport for Inferring Single-Cell Responses to Perturbations
Explore neural optimal transport methods for predicting single-cell responses to perturbations, uncovering insights into molecular processes and treatment outcomes at unprecedented resolution.
High-Throughput In Silico Genetic Screen for 3D Genome Organization - Models, Inference and Algorithms
Explore cutting-edge approaches in 3D genome organization research, including in silico genetic screening and graph representation learning for analyzing multiscale chromatin structure.
MPG Primer: Intro to Terra - Hands on with Jupyter Notebooks in Terra - Part 2 of 3
Dive into hands-on Jupyter Notebooks in Terra with experts from the Broad Institute. Gain practical skills in medical and population genetics data analysis through interactive demonstrations and discussions.