Abstract: This application directs to methods and systems for visual content retrieval using semantic search. An embodiment provides a method for generating media feature vectors from media data segments using jointly trained machine learning models, and storing these with entity indicators in a vector-based search database. An input vector is generated from text or image data, and a processor calculates cosine similarities between the input vector and existing media feature vectors to retrieve and rank relevant media segments. The method also includes generating a mean feature vector from the retrieved set and comparing it with mean feature vectors of other entities for ranking. There are other embodiments as well.

Abstract: According to an embodiment, the present application provides a method for marketing campaigns utilizing a tokenization framework, which relies on smart contracts for its operations. This method starts by accepting a campaign budget, which is for initiating the setup of a smart contract associated with this budget. The smart contract is responsible for the conversion of this budget into tokens, which are earmarked for distribution to users who enroll in the campaign. Operations of the smart contract include the periodic identification and verification of user-generated content relevant to the campaign. This is achieved by examining specific reference tags linked to the content. The smart contract evaluates the effectiveness of the content by analyzing engagement metrics, such as the number of views, likes, and comments. Based on these metrics, the smart contract calculates the appropriate token rewards for each participant.

Abstract: The present invention is directed to system and method for providing recommendation to users using location information. In various embodiments, the present invention provides system that integrates information from user profiles and user-generated content, which can be obtained from a number of social networks, and merchants, to generate recommendations using location information in conjunction with the context of user profiles from various data sources and/or social networks. In certain embodiments, user generated-contents, user profiles and relationships thereof are collected, integrated, analyzed, and stored to allow them to be useful and usable in making recommendations. There are other embodiments as well.

Abstract: Techniques described herein include an event notification processing platform configured to provide users with recommendations in relative real-time based on generated event notifications. In some embodiments, an event source associated with one or more users may generate an event notification, indicating that an event has occurred with respect to a user. The system may process the event notification with respect to the user in order to identify one or more recommendations. In some embodiments, the system may identify a number of attribute values associated with the user that are relevant to a prediction result set. The platform may use one or more machine learning techniques to identify, based on those attribute values, the most appropriate recommendations for the user.

Abstract: The present invention is directed to system and method for providing recommendation to users using location information. In various embodiments, the present invention provides system that integrates information from user profiles and user-generated content, which can be obtained from a number of social networks, and merchants, to generate recommendations using location information in conjunction with the context of user profiles from various data sources and/or social networks. In certain embodiments, user generated-contents, user profiles and relationships thereof are collected, integrated, analyzed, and stored to allow them to be useful and usable in making recommendations. There are other embodiments as well.

Abstract: The present invention is directed to system and method for providing recommendation to users using location information. In various embodiments, the present invention provides system that integrates information from user profiles and user-generated content, which can be obtained from a number of social networks, and merchants, to generate recommendations using location information in conjunction with the context of user profiles from various data sources and/or social networks. In certain embodiments, user generated-contents, user profiles and relationships thereof are collected, integrated, analyzed, and stored to allow them to be useful and usable in making recommendations. There are other embodiments as well.

Abstract: The present invention is directed to system and method for providing recommendation to users using location information. In various embodiments, the present invention provides system that integrates information from user profiles and user-generated content, which can be obtained from a number of social networks, and merchants, to generate recommendations using location information in conjunction with the context of user profiles from various data sources and/or social networks. In certain embodiments, user generated-contents, user profiles and relationships thereof are collected, integrated, analyzed, and stored to allow them to be useful and usable in making recommendations. There are other embodiments as well.