In the espisode is discussed a leaked document describes Realtime Boost, a system designed to quickly detect trending topics and real-world events by analyzing newly published documents in realtime. It aims to overcome the latency issues of traditional ranking signals by identifying a sudden increase in relevant documents for a given query, or a "spike." The system indexes various aspects of fresh documents, including unigrams, timestamps, KG entities, locations, and quality scores, to identify and validate these spikes. The information gathered, including correlated terms and geographical data, is then made available to improve Google Search results by promoting relevant, fresh content.

https://www.kopp-online-marketing.com/patents-papers/realtimeboost-events-design

This episode is dealing with a Microsoft patent related to LLMO.

This text describes a Microsoft patent for a system designed to intelligently route user search requests to either a traditional search engine or a chat engine. The system's core function is to analyze the search request and various criteria such as compute costs, response accuracy, and user preferences to determine the optimal search modality. This routing aims to balance operational expenses with providing accurate and useful results, recognizing that traditional search excels at fact retrieval while chat engines can generate new content, albeit at a higher cost and with potential for inaccuracies. The system also details methods for identifying direct answers, handling hybrid search scenarios, measuring response accuracy, and utilizing a search history database to refine routing decisions and maintain session context.

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