Xero has been granted a patent for a computer-implemented method that involves determining correlations between different applications based on user data. The method includes identifying correlated application pairs and providing recommendations to users based on these correlations. GlobalData’s report on Xero gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Xero, Virtual banking assistant was a key innovation area identified from patents. Xero's grant share as of May 2024 was 24%. Grant share is based on the ratio of number of grants to total number of patents.
Method for correlating and recommending applications based on user behavior
A recently granted patent (Publication Number: US11960542B2) discloses a computer-implemented method for recommending applications based on user behavior. The method involves determining a dataset with entity and application identifiers, calculating correlation scores for application pairs, and storing correlated pairs in a database. When a correlation score exceeds a threshold value, a write request is generated and provided to an app recommender graph interface module for storage. Subsequently, when an application recommendation request is received, the database provides suggested application identifiers based on correlated pairs. The method also includes handling stale data entries and inferring usage relationships between entities and applications.
Furthermore, the patent describes a system and a computer-readable storage medium storing instructions for implementing the method. The system comprises processors and memory with executable instructions to determine datasets, calculate correlation scores, store correlated pairs, and provide application recommendations. The method involves collating multiple correlation write requests into a batch write request for efficiency. Additionally, the computer-readable storage medium stores instructions for determining datasets, calculating correlation scores, storing correlated pairs, and providing application recommendations. The method also includes handling stale data entries and inferring usage relationships between entities and applications. Overall, the patent outlines a comprehensive approach to recommending applications based on user behavior and relationships between entities and applications.
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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.
