Microsoft had 36 patents in ecommerce during Q2 2024. Microsoft Corp’s patents in Q2 2024 focus on technologies such as customizing user interfaces based on implicit ratings, analyzing social media content to generate searchable graphs, eliminating bias in ML model training, training generative language models with predetermined templates, and automatically mapping compliance controls between different standards. GlobalData’s report on Microsoft gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Microsoft had no grants in ecommerce as a theme in Q2 2024.
Recent Patents
Application: Implicit rating recommendations feedback loop (Patent ID: US20240193463A1)
The patent filed by Microsoft Corp. describes a computer device that customizes a user interface based on implicit ratings of user interface elements. The device monitors user interactions prior to a goal action, trains a model based on collected events to generate predictive ratings, and applies these ratings to a collaborative filter to recommend modifications to the user interface for specific users. The model is trained using machine learning techniques to improve the correlation of the implicit ratings with the goal action rate, and the collaborative filter uses a user-item transaction matrix to generate recommendations based on user ratings.
The computer device further classifies user interactions into key-value pairs, uses a neural network to represent the model, and can retrain the model based on the success rates of recommended modifications. The method involves monitoring user interactions, training the model, generating implicit ratings, and applying them to a collaborative filter to recommend modifications to the user interface. The collaborative filter uses user ratings to score items, and the method includes modifying the user interface based on recommendations, comparing success rates of recommended modifications, and potentially retraining the model based on these comparisons. Overall, the patent outlines a system that leverages implicit user ratings to personalize and improve user interfaces based on predictive models and collaborative filtering techniques.
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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.
