It was the spring of 2018, Andrea was strenuously working on a customer project, continuously tuning search configurations and checking the ground truth for certain queries manually. That was pretty much the standard at the time, the brilliant Quepid[1] from our friends at Open Source Connection helped in some use cases, but there was nothing … Continue reading Road to Rated Ranking Evaluator Enterprise
Entity Search with graph embeddings – Part 4 – Evaluation and conclusion
This is the last post of the Entity Search with graph embeddings serie. In Part 2 and Part 3 we illustrated the core of the dissertation describing in detail the implementation of our solution pipeline. In this final part we will see some evaluation measures and results. We will draw some conclusions explaining which were … Continue reading Entity Search with graph embeddings – Part 4 – Evaluation and conclusion
Entity Search with graph embeddings – Part 3 – Documents and retrieval
In this post we want to get to the heart of the process of virtual documents creation. As we explained in Part 1, these documents are essential for the retrieval phase and for its performances. This part of the pipeline is, indeed, the one where we create our own approaches in many different versions. Summarizing … Continue reading Entity Search with graph embeddings – Part 3 – Documents and retrieval
Entity Search with graph embeddings – Part 2 – Embeddings and clustering
Let's continue our journey into this entity search thesis! In Part 1 we have described what entities and entity search are. We have explained how this search is implemented in the state-of-the-art. We have also introduced the new approach of this dissertation specifying also the dataset and the test collection used. Finally we have described … Continue reading Entity Search with graph embeddings – Part 2 – Embeddings and clustering
Entity Search with graph embeddings – Part 1 – Overview
This series of blog posts wants to describe my master degree dissertation done with the supervision of Prof. Gianmaria Silvello at the University of Padova. The main focus of this project is in the use of graph embeddings in order to create virtual documents for the Information Retrieval Entity Search task. This thesis description is … Continue reading Entity Search with graph embeddings – Part 1 – Overview
London Information Retrieval Meetup October
After the very warm reception of the first and second edition, the third London Information Retrieval Meetup is approaching (21/10/2019) and we are excited to add more details about our speakers and talks!The event is free and you are invited to register : https://www.eventbrite.com/e/london-information-retrieval-meetup-october-tickets-74403100677 Our second speaker is Andrea Gazzarini, our founder and software engineer: … Continue reading London Information Retrieval Meetup October
Apache Solr ChildDocTransformerFactory: How to Build Complex ChildFilter Queries
When using nested documents and the Apache Solr Block Join functionality it is a common requirement to query for an entity (for example the parent entity) and then retrieve for each search result all(or some of) the related children. Let's see the most important aspects of such functionality and how to apply complex queries when … Continue reading Apache Solr ChildDocTransformerFactory: How to Build Complex ChildFilter Queries
London Information Retrieval Meetup June
After the very warm reception of the first edition, the second London Information Retrieval Meetup is approaching (25/06/2019) and we are excited to add more details about our speakers and talks!The event is free and you are invited to register : https://www.eventbrite.com/e/london-information-retrieval-meetup-june-tickets-62261343354Our first speaker is René Kriegler, freelance search consultant and search engineer : René Kriegler René has … Continue reading London Information Retrieval Meetup June
Haystack 2019 Experience
This blog is a quick summary of my (subjective) experience at Haystack 2019 : the Search Relevance Conference, hosted in Charlottesville (Virginia, USA) from 24/04/2019 to 25/04/2019.References to the slides will be updated as soon as they become available. First of all my feedback on the Haystack Conference is extremely positive.From my perspective the conference … Continue reading Haystack 2019 Experience
London Information Retrieval Meetup
The London Information Retrieval Meetup is approaching (19/02/2019) and we are excited to add more details about the speakers and talks!The event is free and you are invited to register :https://www.eventbrite.com/e/information-retrieval-meetup-tickets-54542417840After Sambhav Kothari, software engineer at Bloomberg and Elia Porciani, R&D software engineer at Sease, our last speaker is Andrea Gazzarini, founder and software engineer at Sease … Continue reading London Information Retrieval Meetup