Snowflake had one patents in future of work during Q4 2023. Snowflake Inc filed a patent for determining affinity metrics for listings in a data exchange, calculating affinity scores between listings, and presenting relevant listings based on the affinity score. GlobalData’s report on Snowflake gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Snowflake grant share with future of work as a theme is 0% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Similarity-based listing recommendations in a data exchange (Patent ID: US20230401185A1)
The patent filed by Snowflake Inc. describes a method and system for determining affinity scores between listings in a data exchange platform based on a set of affinity metrics. These affinity scores are calculated for each pair of listings, stored in an affinity store, and used to present listings that share characteristics with a given listing. The system also includes features such as calculating distance scores for dissimilar characteristics, weighting affinity scores based on time decay, and pre-computing affinity scores to improve efficiency.
Additionally, the system includes a memory and processing device to implement the method, with the affinity metrics encompassing various characteristics like usage data, SQL metadata, and structured fields from the listings. The order of presenting listings is determined by the affinity scores, which can be influenced by factors like the number of times a listing has been referenced or the organization associated with the listings. The patent also covers a non-transitory computer-readable medium storing instructions for executing the method, including features like natural language processing for extracting information, SQL metadata, and timestamp-based weighting of affinity scores. Overall, the patent outlines a comprehensive approach to leveraging affinity metrics for efficient data exchange and presentation of listings.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
