Zillow Group has been granted a patent for a home view data structure that allows users to compare homes based on view quality. The system generates user-preferred view scores by considering geographic location, user preferences, and geo-elevation data. This innovation enhances the home searching experience. GlobalData’s report on Zillow Group gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Zillow Group, 3d modelling and rendering was a key innovation area identified from patents. Zillow Group's grant share as of May 2024 was 31%. Grant share is based on the ratio of number of grants to total number of patents.

System for scoring home views based on user preferences

Source: United States Patent and Trademark Office (USPTO). Credit: Zillow Group Inc

A recently granted patent (Publication Number: US12014435B1) discloses a system and method for providing user-preferred view scores for homes within a distinguished geographic area. The system includes a processor, a remote data store storing home records with quantitative view scores, and instructions executed by the processor to generate a user-preferred view score based on user preferences and geo-elevation data. The system allows users to input their visual feature preferences, computes a quantitative-user-view score based on these preferences and geographic data, and displays the score on a graphical user interface (GUI). Additionally, the system can generate different scores for different users based on their preferences, providing a personalized experience.

Furthermore, the method outlined in the patent involves receiving user requests for home details pages, accessing user preference levels from a remote data store, determining the geographic location of the home, and computing a revised quantitative view score based on user preferences and geo-elevation data. The method also includes identifying visual features viewable from the home, computing scores for each feature, and adjusting the scores based on geographic points and ground slope. By updating a data structure with the computed scores, users can access and view the quantitative view scores for homes in the distinguished geographic area. Overall, the system and method aim to provide users with personalized view scores based on their preferences and geographic data, enhancing the home browsing experience.

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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.