Microsoft had 28 patents in ecommerce during Q1 2024. Microsoft Corp’s patents in Q1 2024 focus on innovative techniques such as providing content recommendations based on user selections, utilizing digital tracking tags for data monitoring, improving the transmission of call stacks for analysis, determining food items from photographs, and offering item selection recommendations based on user selection cycles. These patents showcase advancements in personalized content recommendations, data tracking, efficiency in data analysis, food identification technology, and personalized item selection recommendations. 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 grant share with ecommerce as a theme is 53% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Intelligent content recommendations based on selections of curated review responses (Patent ID: US20240104611A1)
The patent filed by Microsoft Corp. describes a system that offers content recommendations based on user selections of curated review responses. Users are presented with a set of curated response candidates and related questions based on the category of the product being reviewed. By selecting responses, users indicate preferred characteristics, which are then used to recommend other content. The system analyzes data structures to associate selected responses with specific characteristics and content, enhancing the user experience by tailoring recommendations to individual preferences.
The computer-implemented method and computing device outlined in the patent focus on accessing curated response candidates, selecting categories, communicating with users, and analyzing data to provide personalized content recommendations. By incorporating questions in review forms and considering attributes of items, reviews, purchases, and user profiles, the system ensures that recommendations align with user preferences. The patent emphasizes the importance of matching specific characteristics identified in user responses with content characteristics to generate output data that identifies relevant content for users. Overall, the techniques disclosed aim to enhance user engagement and satisfaction by leveraging curated responses to offer intelligent content recommendations.
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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.
