Data management
Organize, integrate and retrieve heterogeneous data to make information accessible and useful.
Areas & projects
Questions that move us.
We investigate how to organize information, find what matters and discover knowledge in data.
Information retrieval
Find relevant information amid the complexity of the Web, documents and preferences.
Knowledge discovery
Investigate patterns with machine learning, modeling and natural language processing.
Explore our projects
A selection of projects: the ongoing SOLIRIS and completed work in information retrieval, natural language, health and sports. Recommender systems appears as a research topic.
SOLIRISPeople & Organizations
SOLIRIS · People Analytics
Machine learning for People Analytics and Behavioral Management.
Explore the researchNLPNeural Representations
Text embeddings for predictive analysis
Investigation of neural text representations and their use in prediction problems.
Explore the researchPreNEmbLanguage & Health
PreNEmb · Predictive health analytics
Neural network embeddings to investigate the feasibility and effectiveness of predictions in health.
Explore the researchRECResearch Topic
Recommender systems
Methods for finding relevant items, exploring preferences and investigating bias in recommender systems.
Explore the researchSPTPredictive Analytics
Sports prediction
Sports data collection, processing and mining using information retrieval and machine learning.
Explore the researchSEMInformation Retrieval
Entity semantics in IR
Investigating the effectiveness of semantic entity evidence in search and recommendation.
Explore the researchWEBData Management
Web entity extraction and retrieval
Web entity information extraction and retrieval project, supported by CNPq between 2014 and 2017.
Explore the researchSTEMText Processing
Automata-based stemming
Design and evaluation of stemming algorithms based on deterministic finite automata.
Explore the researchResearch is collaborative
Your next question
could start here.
Explore our research interests and discover ways to research and collaborate with IRIS.