Verizon Communications has patented a system for recommending electronic content to users based on video graph data. The system identifies similar video content based on user preferences and adjusts recommendations accordingly. This technology aims to enhance user experience by providing personalized content suggestions. GlobalData’s report on Verizon Communications gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Verizon Communications, Network traffic analysis was a key innovation area identified from patents. Verizon Communications's grant share as of January 2024 was 80%. Grant share is based on the ratio of number of grants to total number of patents.
Recommendation system for electronic content based on video graph data
A recently granted patent (Publication Number: US11886522B2) discloses a system that involves at least one processor and a storage device storing instructions for receiving information from a client device about a user's preferred video clip. The system then retrieves video graphs referencing the chosen video clip, determines association values with other video clips, and generates a ranked candidate video list based on these associations. The system further adjusts association values, filters the list for similarity to other users' watched videos, and updates the video graphs accordingly. The user's preferences and consumption patterns are taken into account for personalized recommendations.
The system ranks video clips based on factors like the number of linked video clips, popularity, and metadata. It also considers the number of users who have consumed or accessed each video clip, as well as the similarity between video content. The patent also covers a computer-implemented method and a computer-readable medium storing executable instructions for performing similar operations. By utilizing association values and user preferences, the system aims to provide tailored video recommendations to users, enhancing their viewing experience and engagement with the platform.
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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.
