Toronto-Dominion Bank had one patents in social media during Q4 2023. The patent filed by The Toronto-Dominion Bank in Q4 2023 describes a method for generating recommendations for a collective profile linked to two individual profiles. The method involves authenticating a login request, identifying and transmitting a query, receiving and analyzing responses, refining the collective profile based on the responses, and outputting new recommendations if applicable. GlobalData’s report on Toronto-Dominion Bank gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
Toronto-Dominion Bank 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: System and method for generating a recommendation (Patent ID: US20230342401A1)
The patent filed by The Toronto-Dominion Bank describes a method and system for generating recommendations for a collective profile based on user interactions with queries. The system involves authenticating a user login request, identifying relevant queries, receiving responses, and refining the collective profile based on the responses to generate new recommendations. The system also includes features such as re-ordering queries based on relevance, stopping the query process under certain conditions, updating user profiles, and detecting changes in user accounts to re-initiate the query process.
The server computer system and computer-implemented method outlined in the patent focus on efficiently managing user queries and responses to generate personalized recommendations. By analyzing user interactions with queries and refining collective profiles, the system aims to provide relevant recommendations based on user preferences and behaviors. The system also includes provisions for handling changes in user accounts, re-initiating the query process based on events, and integrating social media data to enhance the recommendation generation process. Overall, the patent outlines a comprehensive approach to improving recommendation systems through iterative query processes and profile refinements.
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