Alessandro Benedetti
Alessandro Benedetti is an Apache Lucene/Solr committer and PMC member, Director and R&D Software Engineer at Sease Ltd.
His focus is on R&D in Information Retrieval, Information Extraction, Natural Language Processing, and Machine Learning.
He firmly believes in Open Source as a way to build a bridge between Academia and Industry and facilitate the progress of applied research.
Experience with a great variety of clients has taught him to be a proficient and professional consultant.
When he isn't on clients' projects, he is actively contributing to the open-source community and presenting the applications of leading-edge techniques in real-world scenarios at meet-ups and conferences such as ECIR, the Lucene/Solr Revolution, Community Over Code (ex ApacheCon), Haystack, FOSDEM, Berlin Buzzword, and Open Source Summit.
Sease
Session
Hybrid search combines traditional keyword-based search with vector-based search.
The result sets are merged and a single ranked list of items is returned.
Reciprocal Rank Fusion is one of the most popular algorithms for such a task.
This talk presents the work done to bring it to Apache Solr.