Author: Olaf Kopp
Reading time: 4 Minutes

End-to-End Query Term Weighting (TW-BERT)

Topics: , , , ,

Rate this post

The document discusses a new model called Term Weighting BERT (TW-BERT) aimed at improving the effectiveness of lexical retrieval systems by predicting weights for query terms such as unigrams and bigrams. This approach enables a more targeted and effective retrieval by integrating directly with the existing scoring functions like BM25, reducing the integration complexity typically associated with deep learning methods in real-world search applications.

BM25 is a popular ranking function used in information retrieval systems to estimate the relevance of documents to a given search query. It belongs to a family of scoring functions known as probabilistic information retrieval models, which are based on the probabilistic relevance framework. More on BM25.

This content is for SEO-Thought-Leader (yearly) and SEO-Thought-Leader (monthly) members only.
Join (Launch will be in June 2024)
To read the full patent and paper analysis you have to sign up for a monthly or yearly membership.
Your advantages:

+100+ carefully researched active Microsoft and Google patents.
+Google patents and research papers simply summarized from an SEO perspective for quick insights.
+All patents classified by topic for targeted research.
+New patent summaries every month. Notification via E-Mail
+ Gain fundamental insights for your SEO work and become a real thought leader.
+ Only 25 $ per month or 250 $ per year

COMMENT ARTICLE



Content from the blog

What is the Google Knowledge Vault? How it works?

The Google Knowledge Vault was a project by Google that aimed to create an extensive read more

What is BM25?

BM25 is a popular ranking function used in information retrieval systems to estimate the relevance read more

The dimensions of the Google ranking

The ranking factors at Google have become more and more multidimensional and diverse over the read more

Interesting Google patents for search and SEO in 2024

In this article I would like to contribute to archiving well-founded knowledge from Google patents read more

What is the Google Shopping Graph and how does it work?

The Google Shopping Graph is an advanced, dynamic data structure developed by Google to enhance read more

“Google doesn’t like AI content!” Myth or truth?

Since the AI revolution, fueled by the development of large language models (LLMs) and generative read more