Alessandro has been a long-time member of the graph community and he is the main author of the first-ever recommendation engine based on Neo4j. At GraphAware, he specialises in recommendation engines, graph-aided search, and NLP. He has recently built an application using Neo4j and Elasticsearch aimed at personalising search results, utilizing several machine learning algorithms, natural language processing and ontology hierarchy. Before joining the team, Alessandro has gained over 10 years of experience in software development and spoke at many prominent conferences, such as JavaOne. Alessandro holds a Ph.D. in Computer Science from University of Salento.
Talks I've Given
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Graph-Powered Machine Learning
Featuring Dr. Alessandro Negro
Graph-based machine learning is becoming an important trend in Artificial Intelligence, transcending a lot of other techniques.
chatbots graphs machine-learning neo4j -
Mining and Searching text with Graph Databases
Featuring Dr. Alessandro Negro
A great part of the world's knowledge is stored using text in natural language, but using it in an effective way is still a major challenge. Natural Language Processing (NLP) techniques provide the basis for harnessing this huge amount of data and converting it into a useful source of...
graph-databases neo4j datascience text-mining information-extraction natural-language-processing