Meta Platforms had eight patents in ecommerce during Q2 2024. Meta Platforms Inc’s patents in Q2 2024 focus on improving user experience on their online social network platform. One patent involves generating recommendation lists based on user queries and prior comments, while another patent introduces techniques for multi-seller ad attribution to provide insights into advertisement campaigns and user interactions. Additionally, a patent describes a method for training neural network models using examples from a local data store and calculating user valuation to determine the likelihood of the client system being selected for future training. GlobalData’s report on Meta Platforms gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Meta Platforms had no grants in ecommerce as a theme in Q2 2024.
Recent Patents
Application: Recommendations from comments on online social networks (Patent ID: US20240202206A1)
The patent filed by Meta Platforms Inc. describes a method performed by computing devices in an online social network to receive text posts from users, identify queries within the posts, generate recommendations based on those queries by referencing prior comments associated with the posts, and send instructions to present these recommendations to the users. The recommendations may include objects referenced in the prior comments, and additional features like real-time parsing, presenting suggestions, providing links within the composer interface, and generating itineraries based on user information.
The claims associated with the patent detail the specific steps involved in the method, such as parsing text posts in real-time, presenting recommendations with links, offering multiple recommendations, including various details for each object referenced, sending notifications based on user proximity to recommended objects, and generating itineraries based on user data. These claims cover the process of receiving, parsing, generating, and presenting recommendations within an online social network, with additional functionalities to enhance user experience and engagement.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
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.
