
Entity Search with graph embeddings – Part 1 – Overview
Entity Search: how to build virtual documents leveraging on graph embeddings. How to exploit entity embeddings and clustering.

Entity Search: how to build virtual documents leveraging on graph embeddings. How to exploit entity embeddings and clustering.

How faceting is calculated in Apache Solr distributed architectures. It presents inner details explanation and practical examples.

The Rated Ranking Evaluator is a search quality evaluation tool which evaluates the quality of results coming from a search infrastructure.

This blog is a quick summary of our experience at the ECIR 2018, the European Conference on Information Retrieval.
We are Sease, an Information Retrieval Company based in London, focused on providing R&D project guidance and implementation, Search consulting services, Training, and Search solutions using open source software like Apache Lucene/Solr, Elasticsearch, OpenSearch and Vespa.
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