The patent Clustering of Search Results escribes a system and method for clustering search results to improve their quality.

The Multi Source Extraction and Scoring of Short Query Answers patent dentifies a candidate passage within the search results and evaluates its accuracy using context passages from other sources. An accuracy score prediction engine is used to determine whether the candidate passage is likely to provide an accurate answer.

This week we explore Changing a Rank of a Document by Applying a Rank Transition Function, a method for detecting and mitigating rank-modifying spam in search engine results.

Presenting Search Result Information describes a system and method for presenting search results to a user. The system uses web notebooks to organise and rank search results, incorporating snippets and allowing users to create and manage their own notebooks. This US patent application describes a system and method for presenting search results to a user. The system uses web notebooks to organise and rank search results, incorporating snippets and allowing users to create and manage their own notebooks.

The Combining Search Parameters of Multiple Queries That Share a Line of Inquiry patent details a system for improving online search results by combining parameters from multiple, semantically similar user queries.

Search results are increasingly contextual. Recognising the context of a query and the user leads to better search results and user experience. This Query Composition Systems patent is a peace of the puzzle to handle this challenge.

This week we are checking out Predicting Latent Structured Intents from Shopping Queries which is how Google uses an AI framework to extract from ambiguous shopping queries

Today we are looking at the 'Systems and Methods for Improving the Ranking of News Articles' patent which outlines a method to rank news articles based on the quality of their sources, improving the relevance and reliability of search results.

We discuss the patent that outlines a cutting-edge approach to leveraging document activity logs for training machine-learned models. It highlights how this innovation enhances the ability to determine document relevance, streamlining information retrieval and improving user experiences.

In this episode, we take a long look at a system for generating search results from compositional queries. It highlights how this method combines multiple query elements to refine and contextualize searches, enabling users to achieve more precise and relevant results efficiently.