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Skills

  • Data Classification
  • Java
  • Machine Learning
  • Solr
  • Algorithms
  • Apache Solr
  • API
  • Clustering
  • Integration Software
  • Lucene Search
  • Natural Language
  • Natural Language Processing
  • Open Source
  • Processing
  • Programming

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Services

  • Search

    $100/hr Starting at $50 Ongoing

    Dedicated Resource

    Started with my master thesis ("Outdesit – A new approach to improve/support semantic search in the web") I have been growing my interest in Information Retrieval and Search technologies. I have worked...

    Apache SolrAPIData ClassificationJavaLucene Search

  • Machine Learning

    $100/hr Starting at $50 Ongoing

    Dedicated Resource

    Starting in 2009 with my master thesis, I had variegate experiences related the topic. From natural language processing to supervised and unsupervised learning, progressing in my career I had the chance...

    AlgorithmsClusteringData ClassificationMachine LearningNatural Language

  • Java

    $100/hr Starting at $50 Ongoing

    Dedicated Resource

    Started programming in Java at University, I immediately liked the object oriented programming paradigm. I experienced a number of project and worked with a number of open source frameworks. My focus...

    Integration SoftwareJavaOpen SourceProgrammingSoftware Design

About

My mission is to improve the Search user experience. Search is part of our everyday life, if we improve our ability to find the relevant information we improve our life !

Alessandro Benedetti is a Senior Search Software Engineer, consultant and R&D passionate.
His focus is on information retrieval, information extraction, natural language processing, and machine learning.

Conference sessions :
- "Content Discovery Through Entity Driven Search" - ECIR, Apr 2014 @Amsterdam
- "Multi Language Content Discovery Through Entity Driven Search" - Lucene/Solr Revolution, Nov 2014 @Washington DC

Recently Alessandro has worked on integrating Apache Solr's Learning To Rank in to a tech ecosystem with the aim of improving search result relevancy.
Prior to that he designed and developed an Enterprise Semantic Search Engine known as Sensefy using approaches such as Named Entity Recognition at indexing time, advanced autocompletion, and document similarity metrics.

When he isn't developing a new system he is presenting the applications of leading edge techniques in real world scenarios at conferences such as ECIR and the Lucene/Solr Revolution.

Work Terms

Flexible in hours I am open to short/mid term projects and consultancies!

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