Groupon had one patent in social media during Q4 2023. Groupon Inc’s patent focuses on creating implicit relationships between users on social media platforms based on their interests and activities, in addition to explicit peer relationships. User profiles, activity entities, and expressions are associated with metadata to aid in searching and navigation. A metadata collector collects user behavior data to associate metadata with user profiles and data entities, which can be used for various purposes. GlobalData’s report on Groupon gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
Groupon grant share with social media 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: Implicitly associating metadata using user behavior (Patent ID: US20230325877A1)
The patent filed by Groupon Inc. describes a method and apparatus for identifying data entities that may match a user's preferences based on associations with user profiles. The method involves receiving data entities associated with user profiles, selecting a portion of the data entities, ranking them based on user associations, and presenting them to the user. This process can involve generating search queries, determining user scope specifications, and ranking data entities based on user reputations and preferences. The apparatus includes a processor and memory to execute the method, allowing for efficient identification of user preferences through metadata associations.
Additionally, the patent outlines a method for generating an indicator of user preferences through a photographic mosaic. This involves associating candidate images with metadata similar to user preferences, creating a mosaic that approximates a primary image using these candidate images, and presenting it to the user. The presentation may include user profiles, code for user interaction, and associations with data entities based on metadata similarities. The method also details the process of partitioning images, comparing characteristics, and replacing sections with similar candidate images to create the mosaic. Overall, these techniques offer innovative ways to identify user preferences and present relevant data entities in a visually appealing manner.
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