Content-based Graph Reconstruction for Cold-start Item Recommendation - SIGIR 2024
Explore innovative graph reconstruction techniques for cold-start item recommendations, enhancing content-based approaches in recommender systems.
Dimension Importance Estimation for Dense Information Retrieval - Tutorial 2.1
Explore dimension importance estimation techniques for dense information retrieval, enhancing search accuracy and efficiency in large-scale systems.
Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative Filtering
Explore individuality and collectivity of intents in graph collaborative filtering for enhanced recommendation systems and user interaction analysis.
AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations
Explore adaptive feature de-correlation in graph collaborative filtering for enhanced recommendation systems. Learn innovative techniques to improve accuracy and relevance.
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.
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.
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.
Temperature Drives Cardiac Function
Uncover how temperature impacts cardiac function, exploring contractility changes during hypothermia and fever, and the potential of electronic health records for data mining.
MIRROR: A Multi-View Reciprocal Recommender System for Online Recruitment - Domain Specific RecSys
Explore a multi-view reciprocal recommender system for online recruitment, enhancing job matching efficiency and candidate-employer satisfaction.
Multimodality Invariant Learning for Multimedia-Based New Item Recommendation - Lecture 6
Explore innovative techniques for multimedia-based new item recommendation using multimodality invariant learning, enhancing recommendation systems' performance and user experience.
NFARec: A Negative Feedback-Aware Recommender Model - Recommendation Systems
Explore a novel recommender model that incorporates negative feedback for improved personalized recommendations in complex user-item interaction scenarios.
Uncertainty-Guided Noisy Correspondence Learning for Efficient Cross-Modal Matching - Multimodal Session 3.3
Explore uncertainty-guided noisy correspondence learning for efficient cross-modal matching in multimodal systems, enhancing data analysis and information retrieval techniques.
Pivotal Cloud Foundry Microservices
Learn to build and deploy microservices using Spring Boot and Pivotal Cloud Foundry, covering key concepts like config server, circuit breaker, service discovery, and database integration.
Java Cloud Deployment
Learn to deploy Spring Boot microservices on various cloud platforms, including Google Cloud, Pivotal Cloud Foundry, OpenShift, and Heroku. Explore service discovery, config server, circuit breakers, and database integration.
Microbiome Summer School- Big Data Analytics for Omics Science 2017
Explore microbiome research through bioinformatics and big data analytics, covering topics from metagenomics to machine learning for biological data and microbiome database mining.
Data Mining - Biological Databases
Learn to mine biological databases, download gene expression data, and use tools like TCGA, NCBI, and SRA toolkit for bioinformatics research. Covers Python and R programming for data analysis.
Clustering in Data Mining - K Means Clustering Algorithm - Hierarchical Clustering
This "Clustering in Data Mining" tutorial will help you to comprehensively learn all the concepts related to clustering algorithms.
Market Basket Analysis - Apriori Algorithm Explained - Time Series
Learn market basket analysis, Apriori algorithm, sales prediction, text analysis, and sentiment analysis for business intelligence. Gain practical skills in data-driven decision-making and customer behavior prediction.
Apriori Algorithm in Data Mining - Association Rule Mining - Data Science Algorithm
Comprehensive tutorial on the Apriori algorithm in data mining, covering its importance, application in association rule mining, and implementation, with a focus on conjoint analysis and market basket analysis.