New study published on the effectiveness of AI-based patent search engines

We’re pleased to share that a new scientific paper written by our colleagues at ip-search has been published in the renowned World Patent Information journal.

 

Title of the publication:
Evaluating the effectiveness of ranking-based patent search engines for identifying relevant prior art: A comparative study in the area of chemistry

Authors:
David Rees, Manuel Wirz

 

You can read the full article here: ScienceDirect

 

Due to the rapid development of patent search systems, which increasingly feature AI-based ranking mechanisms, the search for relevant prior art documents is changing.

The recently published study makes an important contribution to this development by comparing semantic search engines and evaluating their performance in a transparent and objective manner.

In their concise and targeted analysis, the authors aim to add to and advance the discussion on the role of artificial intelligence in industrial rights searches.