Naver had 25 patents in digitalization during Q2 2024. Naver Corp’s patent involves a method for generating search results using multi-modal features by performing vector operations on attributes in a multi-modal embedding space based on user queries. The search results are then provided based on the embedding vector obtained from the operations. GlobalData’s report on Naver gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Naver had no grants in digitalization as a theme in Q2 2024.
Recent Patents
Application: Method, computer device, and non-transitory computer-readable recording medium to provide search results based on multi-modal features (Patent ID: US20240193197A1)
The patent filed by Naver Corp. describes a method for providing search results based on multi-modal features by performing vector operations in a multi-modal embedding space according to a user query. The method involves utilizing correction functions to account for non-linear errors in the embedding space and transforming the space to allow linear expression for more accurate search results. The search results are provided based on an embedding vector acquired through the vector operation, with adjustments made to attributes and strengths as needed.
The claims associated with the patent detail the specific steps and processes involved in the multi-modal search method, including the use of correction functions, estimation of correction functions, and manipulation of cross-modal feature vectors between text and image spaces. The patent also covers the implementation of the method on computer devices, with processors executing instructions stored in memory to perform the vector operations and provide search results based on the acquired embedding vectors. Overall, the patent aims to enhance search result accuracy by considering multi-modal features and utilizing vector operations in a specialized embedding space.
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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.
