Abstract: The present disclosure provides a method and system to perform integration and monitoring of one or more intelligent conversational agents. The system creates an online chatbot marketplace to enable one or more vendors to upload the one or more intelligent conversational agents. The system integrates the one or more intelligent conversational agents to generate a mega bot in real-time. The system generates the mega bot based on integration of the one or more intelligent conversational agents. The system collects a first set of data. The system receives one or more queries from a plurality of users for the mega bot. The system selects a suitable intelligent conversational agent having a trust score above a threshold level based on a plurality of factors and the first set of data. The system creates a primary response for the one or more queries at the mega bot.

Abstract: The present disclosure provides a computer system (112). The computer system (112) performs a method for encoding user count with a low memory footprint. The method includes a first step of receiving real-time and adaptive frequency of user visibility. Further, the method includes another step of receiving a user device (106) id associated with one or more users (104). Furthermore, the method includes yet another step of encoding the user visibility count. The frequency of the user visibility is the number of times the computer system receives a request from a user device (106). The user device (106) id is a unique string of numbers and letters. The unique string of numbers and letters identifies the user device (106) associated with one or more user (104). The user visibility count is encoded by using one or more data structures and one or more algorithms.

Abstract: The present disclosure provides a system for utilization of an advertisement fraud data to blacklist or whitelist one or more entities. The system includes a first step of collecting the advertisement fraud data associated with online advertisement and commerce fraud. The system includes another step of creating a blacklist of one or more entities from the collected advertisement fraud data. The system includes another step of blocking the one or more entities present in the created blacklist in real-time. The system includes another step of generating a whitelist of one or more entities from the created blacklist of the one or more entities. The system includes yet another step of optimizing the blacklist of the one or more entities in real-time.

Abstract: Systems and methods disclosed herein provide for a case-based reasoning using universal ontologies. Embodiments of the systems and methods provide for comparing current and past cases based on the universal ontologies and sorting the past cases based on the comparison, wherein the universal ontology integrates authority information associated with the current and past cases.

Abstract: Systems and methods disclosed herein provide for a case-based reasoning using universal ontologies. Embodiments of the systems and methods provide for comparing current and past cases based on the universal ontologies, wherein the universal ontology integrates information associated with the current and past cases with at least one reasoning system.

Abstract: The present disclosure provides a system for utilization of an advertisement fraud data to blacklist or whitelist one or more entities. The system includes a first step of collecting the advertisement fraud data associated with online advertisement and commerce fraud. The system includes another step of creating a blacklist of one or more entities from the collected advertisement fraud data. The system includes another step of blocking the one or more entities present in the created blacklist in real-time. The system includes another step of generating a whitelist of one or more entities from the created blacklist of the one or more entities. The system includes yet another step of optimizing the blacklist of the one or more entities in real-time.

Abstract: The present disclosure provides a method and system for creating decentralized repository of fraud IP and publishers using block chain. The block chain network creates a central repository for decentralized shared ledger. The block chain network adds a ledger in decentralized shared ledger for each interaction on an application. In addition, the block chain network authorizes at least one of a plurality of stakeholders to access the decentralized shared ledger after receiving a request from at least one of the plurality of stakeholders. Further, the block chain network analyzes the interaction and past data received from a plurality of stake holders. Furthermore, the block chain network blocks device IPs, device Id's, device type and the publishers mentioned in blacklist of the decentralized shared ledger.

Abstract: The present disclosure provides a method and system to detect advertisement fraud. The fraud detection platform receives device data and application data associated with one or more advertisements published on at least one publisher on one or more media devices. In addition, the fraud detection platform identifies a plurality of parameters based on the device data and the application data. Further, the fraud detection platform generates a plurality of graphs based on the device data, the application data, user behavior and the plurality of parameters. Furthermore, the fraud detection platform analyzes the plurality of graphs with trained data to identify fraud based on the deviation.

Abstract: The present disclosure provides a method and system to perform installation of one or more applications based on the interaction of a user with a podcast. The method includes a first step to insert one or more advertisements during the broadcasting of the podcast. In addition, the method includes another step to detect mode of listening of the podcast by the user. Further, the method includes yet another step to determine one or more gestures. Furthermore, the method includes yet another step to receive one or more gesture inputs from the user. Moreover, the method includes yet another step to perform one or more actions at the application installation system.

Abstract: The present disclosure provides a method and system to adopt user learnings across vernacular contexts. The system receives a first set of data associated with a plurality of users. The system collects a second set of data associated with the plurality of users. The system fetches a third set of data associated with one or more communication devices of the plurality of users. The system analyzes the first set of data, the second set of data, and the third set of data using one or more machine learning algorithms. The system enables segmentation of the plurality of users in one or more segments based on one or more patterns of a plurality of languages and a plurality of language attributes. The system triggers initialization of one or more personalized marketing campaigns for the one or more segments based on the plurality of languages and the plurality of language attributes.

Abstract: The present disclosure provides a method and system to perform switching and handover between one or more intelligent conversational agents. The system receives a first set of data in real-time. The system collects a second set of data in real-time. The system fetches one or more queries from a plurality of users for a mega bot. The system analyses the first set of data, the second set of data and the one or more queries using one or more machine learning algorithms. The system selects a suitable intelligent conversational agent from the one or more intelligent conversational agents having a trust score above a threshold level. The system switches between the one or more intelligent conversational agents in the mega bot interacting with the plurality of users based on a plurality of aspects of corresponding query of the one or more queries and a plurality of factors.

Abstract: The present disclosure provides a method and system for enabling interaction between a user and a podcast using a podcast interaction system. The podcast interaction system receives a first set of data a first set of data associated with the podcast. The podcast interaction system collects a second set of data associated with a communication device of the user. The podcast interaction system fetches a third set of data associated with the user accessing the podcast through the communication device in real-time. The podcast interaction system analyses the first set of data, the second set of data and the third set of data. The podcast interaction system detects the one or more triggers for enabling the interaction between the user and the podcast. The podcast interaction system initializes the interaction between the user and the podcast. The podcast interaction system interactively responds to one or more queries of the user.

Abstract: The present disclosure provides a method and system to perform integration and monitoring of one or more intelligent conversational agents. The system creates an online chatbot marketplace to enable one or more vendors to upload the one or more intelligent conversational agents. The system integrates the one or more intelligent conversational agents to generate a mega bot in real-time. The system generates the mega bot based on integration of the one or more intelligent conversational agents. The system collects a first set of data. The system receives one or more queries from a plurality of users for the mega bot. The system selects a suitable intelligent conversational agent having a trust score above a threshold level based on a plurality of factors and the first set of data. The system creates a primary response for the one or more queries at the mega bot.

Abstract: The present disclosure provides a method and system to enable an interaction of a user with one or more advertisements within a podcast. The system receives a first set of data associated with the podcast. The system collects a second set of data associated with the one or more advertisements. The system fetches a third set of data associated a communication device of the user. The system gathers a fourth set of data associated the user accessing the podcast through the communication device. The system analyzes the first set of data, the second set of data, the third set of data, and the fourth set of data using one or more machine learning algorithms. The system identifies one or more triggers to enable the interaction of the user with the one or more advertisements. The system initializes the interaction between the user and the one or more advertisements in real-time.

Abstract: Systems and methods disclosed herein provide for creating product classification taxonomies using universal product classification ontologies, as well as the version-managing thereof. Embodiments of the systems and methods enable the creation of human and computer interpretable, self-consistent, and global semantic knowledge structures covering multiple product domains, each organized as a hierarchical taxonomy of explicit and unambiguous product definitions. Embodiments of the systems and methods also provide for user interfaces for classifying unknown products using the universal product classification ontologies.

Abstract: Systems and methods disclosed herein provide for a case-based reasoning using universal ontologies. Embodiments of the systems and methods provide for comparing current and past cases based on the universal ontologies, wherein the universal ontology integrates information associated with the current and past cases with at least one reasoning system.

Abstract: Systems and methods disclosed herein provide for a case-based reasoning using universal ontologies. Embodiments of the systems and methods provide for comparing current and past cases based on the universal ontologies and sorting the past cases based on the comparison, wherein the universal ontology integrates authority information associated with the current and past cases.

Abstract: The present disclosure provides a method and system to perform installation of one or more applications based on the interaction of a user with a podcast. The method includes a first step to insert one or more advertisements during the broadcasting of the podcast. In addition, the method includes another step to detect mode of listening of the podcast by the user. Further, the method includes yet another step to determine one or more gestures. Furthermore, the method includes yet another step to receive one or more gesture inputs from the user. Moreover, the method includes yet another step to perform one or more actions at the application installation system.

Abstract: The present disclosure provides a method and system for detection of advertisement fraud in one or more advertisements. The system receives and analyzes a user data, and a user action data in real-time. In addition, the system detects one or more fraudulent actions in real-time. The one or more fraudulent actions are detected based on deviation in the user data and the user action data from a predefined user data and a predefined user action data respectively. Further, the system inserts a set of advertisements along with the one or more advertisements in real-time. Furthermore, the system sends one or more notifications for alerting an advertiser.

Abstract: The present disclosure provides a method and system for application installation and detection of fraud in advertisement. The system receives a request for installing an application from a plurality of users in real time. In addition, the system provides one or more methods to the plurality of users for installing the application. Further, the system receives a first set of data and a second set of data in real time. Furthermore, the system analyzes the first set of data and the second set of data in real time. Moreover, the system identifies a user of the plurality of users and a publisher of a plurality of publishers committing the fraud. Also, the system blocks one or more users and one or more publishers committing the fraud in real time.