Abstract: Certain aspects of the present disclosure provide techniques for managing a search engine based on search performance metrics. An example method generally includes dividing a set of search history data into a first subset of search history data and a second subset of search history data. The first subset of data is associated with interaction with search results, and the second subset of data is associated with non-interaction with search results. A first quality score is generated for searches in the first subset of data. A second quality score is generated for searches in the second subset of data based on different search intents identified for each temporally related group in the second subset of data. An overall quality score is generated for a search engine, and one or more actions with respect to the search engine are taken based on the overall quality score.

Abstract: The integration of news about members of a group into symmetrical group communications is described. Group members are delivered news items and information regarding members of the group, and are able to communicate with other members of the group in response to the news items. One embodiment dynamically generates aggregated RSS news feeds for a group of people or entities and correlates that aggregated data with biographical information, audio, and video media to provide rich information about the relevant parties to the news story. The embodiment also provides the capability of transmitting email or other electronic messages to the parties in the news story to facilitate two-way communication while maintaining the group members' privacy and anonymity.

Abstract: Disclosed herein are embodiments of systems and methods for synchronizing file-catalog table with a file stage. In an embodiment, a data platform receives a notification of a modification to one or more files in a file stage. The file stage includes data storage having a storage location. The data platform updates, based on receiving the notification of the modification, a first file-catalog table for the file stage based on the modification. The first file-catalog table includes a row for each file in the file stage, as well as a column for each of one or more metadata properties of the one or more files in the file stage.

Abstract: A method includes decoding, by at least one hardware processor, a request for a user-defined function (UDF). The request includes a reference to one or more files. The method further includes generating, by the at least one hardware processor, the UDF based on the request. The UDF includes a file reference object with file path information corresponding to the reference. The file path information identifies a file path to the one or more files. A UDF call into the UDF is detected. The UDF call specifies the file path information. The UDF call is processed to generate result data using the one or more files.

Abstract: A method and system are disclosed for ontology-based dynamic learning and knowledge integration from measurement data and text. A method and system are disclosed for inferring relationships between entities and entity states from data, text and users inputs and for actively searching, integrating, visualizing and comparing relations to extract domain-specific knowledge.

Abstract: Systems and methods for embodiments of incremental training of machine learning model in artificial intelligence systems are disclosed. Specifically, embodiments of incremental training of machine learning models using drift detection models are disclosed, including embodiments that utilize drift detection models to determine drift based on identity graphs in artificial intelligence identity management systems.

Abstract: Personalized search results are provided to a user by sending to the user a direct marketing email having associated therewith one or more opt-out elements. Information related to the user's interaction with the one or more opt-out elements is maintained in a database. When a search request is thereafter submitted to a search engine by the user, the information related to the user's interaction with the one or more opt-out elements is used to inhibit inclusion within the search results of one or more items. In addition or alternatively, when the user accesses a search interface having a plurality of search options selectable to provide a search request to the search engine, the information related to the user's interaction with the one or more opt-out elements is used to inhibit inclusion within the search interface of one or more of the plurality of user selectable search options.

Abstract: A computing system obtain a keyword and an identifier for a user of a content authoring application. Based upon the keyword and identifier for the user, the computing system walks a user graph comprising nodes connected by edges. The walk comprises identifying seed nodes in the user graph representing at least one topic that corresponds to the keyword and identifying second level nodes in the user graph that are connected to the seed nodes. The second level nodes represent first content that is associated with the user. The computing system transmits contextual data that is based upon the first content to the content authoring application. The contextual data is processed and formatted and is included in second content presentable by the content authoring application. The contextual data may be used to autogenerate the second content without user input. The second content may be modified by the user as desired.

Abstract: A computer-generated data entry is received. The computer-generated data entry is segmented into a set of tokens. A plurality of different token permutation groupings are determined. Each of the different token permutation groupings includes a different subset of tokens from the set of tokens of the computer-generated data entry. For the computer-generated data entry, a plurality of token permutation grouping identifiers associated with at least a portion of the plurality of different token permutation groupings is obtained. It is determined whether the computer-generated data entry belongs to any data entry cluster among a plurality of previously identified data entry clusters based on a search performed using the token permutation grouping identifiers of the computer-generated data entry.

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: Various embodiments provide methods, systems, apparatus, computer program products, and/or the like for managing, ingesting, monitoring, updating, and/or extracting/retrieving information/data associated with an electronic record (ER) stored in an ER data store and/or accessing information/data from the ER data store.

Abstract: Techniques for resolving multiple user requests from multiple user accounts by an interactive interface are described. An interactive interface can obtain a first multi-dimensional context graph for a first user account and a second context graph for a second user account. Each graph comprises correlated contexts related to the user account. The interface can also receive a first user request associated with the first user account and a second user request associated with the second user account; determine, based on the first graph, a first current context and one or more first previous contexts for the first user request; determine, based on the second graph, a second current context and one or more second previous contexts for the second user request; determine one or more interrelationships between the first and the second graphs; and resolve the user requests based on the contexts and the interrelationships.

Abstract: Techniques are presented for producing demographics, in an automated fashion, from a search result of computer-accessible content. While the demographics can be determined for a research product that has been produced by any technique, they are particularly useful when applied to an automated frame-based search approach. Frame-based search engines are presented for technology profiling, healthcare-related search and brand research. Determination of a demographic proceeds at two levels: member and population. At the member level, a demographic characteristic can be determined applicable with either total or partial certainty. Each value assigned by a demographic, to a population member, has a confidence level associated with it and the assignments can be represented by a Confidence Distribution. Summarization of a demographic, at the population level, depends upon whether the certainty assignments, at the member level, are total or partial. Declarant Demographics are presented.

Abstract: Aspects of the disclosure include a natural language processing model by which topics of interest within a text are identified, such as by a predictive model that infers (e.g., based on scores associated with a text) a topic of interest associated with the text. The computer system may train or configure the prediction model, such as a machine learning model, to facilitate identification of topics of interest based on inputs, like one or more chunks of text, such as by keywords or phrases or combinations of keywords and associated metrics for nearness or frequency. The computer system may determine a measure of predicted impactfulness of the content item in relation to a topic of interest identified for the content item and determine whether to generate a notification transmitted to client devices of users having indicated the topic as of interest.

Abstract: Embodiments of the present disclosure relate to a content processing method and apparatus, a computer-readable storage medium, and a computer device. The method includes obtaining data of a to-be-pushed user in behavior evaluation dimensions, user portrait information of the to-be-pushed user, and to-be-pushed content, with the user portrait information corresponding to a user portrait code and the to-be-pushed content corresponding to a to-be-pushed content code. The method further includes determining a user behavior code based on the data of the to-be-pushed user in the behavior evaluation dimensions, and obtaining a target code by fusing the to-be-pushed content code with the user behavior code and the user portrait code. Then, the method includes determining a recommendation probability of the to-be-pushed content based on the target code to determine the push content based on the recommendation probability.

Abstract: A multi-turn context-aware chatbot is disclosed. A framework to create a multi-turn context-aware chatbot can make use of a database schema. A system that includes a multi-turn context-aware chatbot can include a criteria tuple extractor. A method for carrying out multi-turn context-aware chat can include implicit reference resolution.

Abstract: The present disclosure discloses a method and system for refreshing current page information. The method may include: obtaining currently displayed information data in response to receiving an information refresh request from a user; determining possibly-interested information of the user based on the information refresh request and the currently-displayed information data; displaying the possibly-interested information of the user. The present disclosure may determine the possibly-interested information of the user based on the currently-displayed information data, and recommend data content of a different type from the currently-displayed information data to the user, which may broaden a browsing horizon of the user, and improve user experience.

Abstract: A manager file system (MFS), implemented using an OS process, exposes a path in the native file system as the root of its file system (e.g., mount point). The MFS informs the OS kernel that any file system operation whose path contains the mount point as its prefix, should be handed over to the process by invoking an appropriate interface method that the process implements as part of its file system implementation. The MFS manages one or more applications and leverages the authentication mechanism of the OS to provide fined-grained access control of MFS managed applications.

Abstract: A method includes receiving event strings from source code repositories, creating, for the source code repositories, digests of keywords, receiving log strings, and aggregating the log strings into a log group. The method further includes comparing the digests to the log group to generate scores, whereby the scores correlate the digests to the log group. The method further includes selecting a source code repository from the source code repositories according to the scores, and associating the log group to a service corresponding to the source code repository, where the source code repository corresponds to the digest with a highest score.

Abstract: Certain aspects of the present disclosure provide techniques for managing a search engine based on search performance metrics. An example method generally includes dividing a set of search history data into a first subset of search history data and a second subset of search history data. The first subset of data is associated with interaction with search results, and the second subset of data is associated with non-interaction with search results. A first quality score is generated for searches in the first subset of data. A second quality score is generated for searches in the second subset of data based on different search intents identified for each temporally related group in the second subset of data. An overall quality score is generated for a search engine, and one or more actions with respect to the search engine are taken based on the overall quality score.