Alessandro Benedetti

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I am a passionate software engineer with a strong will to learn and improve myself continuously across a wide range of different areas. My focus and favourite work would be in R&D on information retrieval, information extraction, natural language processing and machine learning with a big emphasis on data structures, algorithms and probability theory. Experience with a great variety of clients has taught me to be a proficient, professional consultant and allowed me to develop excellent interpersonal skills. I have a strong inclination for teaching, a passion which grew during my academic career where I tutored students and taught Summer preparation courses at the high school level.

apache solr search apache lucene information retrieval elasticsearch enterprise search search quality evaluation machine learning open source information technology apache manifoldcf semantic search apache stanbol semantic new york university nyu rre ecir2019 sease r&d research academic production ecir2018 learning to rank k nearest neighbour more like this bayes classification federated search

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Alessandro Benedetti

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Content Discovery Through Entity Driven Search

Multi-language Content Discovery Through Entity Driven Search

Lucene And Solr Document Classification

Advanced Document Similarity With Apache Lucene

From Academic Papers To Production : A Learning To Rank Story

Search Quality Evaluation: Tools and Techniques

Rated Ranking Evaluator: An Open Source Approach for Search Quality Evaluation

Search Quality Evaluation to Help Reproducibility: An Open-source Approach

Rated Ranking Evaluator: An Open Source Approach for Search Quality Evaluation

Search Quality Evaluation to Help Reproducibility : an Open Source Approach

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Learning to Rank in Solr: Presented by Michael Nilsson & Diego Ceccarelli, Bloomberg LP