Naver has been granted a patent for methods and systems that provide information to users about points-of-interest (POIs). The technology involves receiving a query, retrieving information about the POI based on the query, and generating a user interface that displays the retrieved POI tips and their associated semantic categories. The displayed tips are sorted by their categories and transmitted to the user’s device for display. The information is extracted from POI free-text reviews and organized using a predefined tip ontology. 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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According to GlobalData’s company profile on Naver, Recommender systems was a key innovation area identified from patents. Naver's grant share as of September 2023 was 57%. Grant share is based on the ratio of number of grants to total number of patents.
Method for providing information on point-of-interests (pois) from reviews
A recently granted patent (Publication Number: US11774264B2) describes a method and system for providing information to users about points-of-interest (POIs). The method involves receiving a query from a user via a communication network and retrieving information from a data storage based on the query. The retrieved information includes a set of POI tips that have been extracted from free-text reviews of the POIs using a natural language processing model. These tips are associated with semantic categories based on a predefined tip ontology.
The method further involves generating a user interface that displays the retrieved POI tips and their associated semantic categories. The displayed tips are sorted by their associated categories. The user interface can be transmitted to the user's computing device for display. The user can interact with the interface by selecting a semantic category to display the corresponding POI tips.
The system described in the patent includes a communication interface, a back-end with a processor and memory, and a front-end with a POI query interface module and a POI detail interface module. The back-end includes a knowledge base and a tip identifier module. The tip identifier module retrieves POI free-text reviews, identifies tip occurrences using a natural language processing model, associates the identified tips with semantic categories based on the tip ontology, and stores the information in the knowledge base. The front-end modules receive the user query and generate the user interface for displaying the retrieved POI tips and semantic categories.
The patent also describes additional features, such as displaying text snippets of the POI free-text reviews, allowing user feedback on the displayed tips, and sorting the tips based on relevance scores. The system can also generate augmented training data for retraining the natural language processing model based on user feedback.
Overall, this patent presents a method and system for providing users with information about POIs based on extracted tips from free-text reviews. The user interface allows for interactive exploration of the tips and their associated semantic categories. The system can be used to enhance the user experience in discovering and learning about various POIs.
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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.
