R&D Search Software Engineer, her focus is on the integration of Information Retrieval systems with advanced Machine Learning, Neural Search models ad Recommender Systems.
She likes to find new solutions that integrate her work as a Search Consultant with the latest academic studies.
Anna has demonstrated a passion for Information Retrieval since the University. Graduated from the University of Padua, with a computer science master’s degree dissertation in Entity Search, Anna has been working as a Search Consultant in Sease since 2019.
She actively works to support clients in the process of improving their search engines with the implementation of innovative personalized solutions.
She specializes in the integration of machine learning techniques with information retrieval systems, from Learning to Rank techniques to Neural Searches and Recommender Systems. She extensively worked on e-commerce websites, improving their performance by developing personalized models and evaluation systems.
Anna highly believes in innovation and research, keeping up-to-date with the latest academic studies and contributing to them. She participated in the European Conference of Information Retrieval 2022 with a poster on offline and online evaluation in the industry; and published a paper on improving interleaving techniques for the evaluation of information retrieval systems at the ECIR 2023.
Learning To Rank
Natural Language Processing
Search Quality Evaluation
✓ Entity Search
✓ Learning To Rank
✓ Search Quality Evaluation
Latest blog posts
- Semantic Web & Linked Open Data
- Time Series Databases: A Hands-On Introduction With InfluxDB
- Vespa Neural Search Tutorial
- OpenSearch Neural Search Plugin Tutorial
- Categorical Features in Apache Solr Learning to Rank
- Elasticsearch Disk Space Issue and Rollover Solution
- Efficiently Manage Numeric Ids in JSON and Pandas