Abstract: A computer-implemented method for enabling users to subscribe to people and other tagged entities is provided herein. Such a method includes maintaining subscription data specifying a plurality of entities subscribed to by a plurality of users, with each of the plurality of entities being a tagged entity associated with a tag. The method further includes identifying a media item associated with one or more tagged entities of the plurality of entities, determining, based on the subscription data, a user of the plurality of users that is subscribed to the tagged entities of the media item, and providing the media item to the user.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing text similarity determination. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform text similarity determination by using at least one of Word Mover's Similarity measures, Relaxed Word Mover's Similarity measures, and Related Relaxed Word Mover's Similarity measures.

Abstract: A system for predicting the occurrence of an event includes an event detector and a reporting processor. The event detector is configured to: receive data that defines a plurality of social media items; receive a real-time data feed; and predict the occurrence of an event based on a correlation between information in the plurality of social media items and activity associated with the real-time data feed. The reporting processor is configured to determine an event type associated with the event; identify a sentiment of the predicted event based on historical data in the real-time data feed, and generate a recommendation for preventing the occurrence of the event based on at least one of the event type and the sentiment of the predicted event. The recommendation includes a plurality of actions. The reporting processor is coupled to a knowledge graph database that corresponds to an ontology that defines one or more relationships between event types, and response types.

Abstract: Vehicle methods disclosed herein include displaying, on one or more user interfaces of a vehicle display, a visual summary of a defined trip route. The visual summary may include a start indicator, and end indicator, a transition indicator (indicating a road switch), a road type indicator, a municipality indicator, time indicators (indicating times to transition points and municipalities), and fuel/charge indicators indicating refueling/recharging locations, among other details. Travelers may use the one or more user interfaces to determine desired stopping locations, desired route, goods and services provided at different stops along the way, and other items. Other vehicle methods disclosed herein include preparing a music playlist curated for a specific trip and taking into account various user-specific factors, and changing the playlist in response to changes in trip conditions.

Abstract: Certain aspects of the present disclosure provide techniques for medoid-based data compression. One example method generally includes receiving item data indicative of one or more items, determining one or more medoids based on the item data, determining, for each item of the one or more items, a corresponding medoid based on the one or more medoids, identifying, for each item of the one or more items, a difference between the item and the corresponding medoid for the item, storing the one or more medoids, and storing, for each item of the one or more items, the identified difference between the item and the corresponding medoid.

Abstract: The invention provides methods, systems and computer program products for implementing social networks that provide for reliable verification and validation of user content. In an embodiment, the invention enables implementation of social networks that enable recordation and validation of social contributions of members.

Abstract: Systems and methods are provided for retrieving first query result data associated with a first user account and rendering the first query result data into a first result item, generating a shareable search result stream comprising the first result item associated with the first user account, retrieving second query result data associated with a second user account and rendering the second query result data into a second result item, adding the second result item to the shareable search result stream associated with the first user account, and providing the sharable search result stream comprising the first result item and the second result item to a first computing device associated with the first user account and a second computing device associated with the second user account.

Abstract: A framework for an automated news recommendation system for financial analysis. The system includes the automated ingestion, relevancy, clustering, and ranking of news events for financial analysts in the capital markets. The framework is adaptable to any form of input news data and can seamlessly integrate with other data used for analysis like financial data.

Abstract: Devices and techniques are generally described for iterative theme discovery in text. In some examples, first text data that is separated into a plurality of documents may be received. In some examples, a codebook comprising a first topic associated with a first set of keywords and a second topic associated with second set of keywords may be identified. Instructions to modify the codebook to generate a modified codebook may be received. The instructions may be effective to add to, delete from, and/or modify at least one of the keywords of the first set of keywords or the first topic. In some further examples, a first document of the plurality of documents may be tagged with the first topic based at least in part on the first keywords of the modified codebook. In some examples, output data may be generated that indicates that the first document pertains to the first topic.

Abstract: A method for identifying subpopulations may include receiving interaction data associated with interactions from a population of individuals. The interaction data may include a plurality of features. A first subpopulation may be identified based on at least one feature of interaction data of each individual. A second subpopulation may include all individuals other than the first subpopulation. The first subpopulation may be clustered into a first plurality of clusters based on the features. A first subset of features may be determined based on the first clusters. The first subpopulation may be clustered into a second plurality of clusters based on the first subset of features. A range for each feature of a second subset of features may be determined based on the second clusters. A subset of the second subpopulation may be determined based on interaction data for each individual and the range for each feature of the second subset of features.

Abstract: A method can be used for supervising the operation of a machine powered with electric current. The method includes operating the machine in a normal operation mode, repeatedly performing a learning phase for learning the normal operation machine of the machine to create a knowledge base, autonomously switching from the learning phase into a supervision phase when the knowledge base is considered to have been created, and repeatedly performing the supervision phase.

Abstract: Systems and methods for executing queries on tensor datasets are disclosed. A system can identify a query for a multi-dimensional sample dataset. Each sample of the multi-dimensional sample dataset can include one or more tensors. Each tensor of the one or more tensors can be associated with a respective identifier that is common to each sample of the multi-dimensional sample dataset. The query specifying a first identifier of a first tensor of the multi-dimensional sample dataset and a first range of a first dimension of the first tensor, or one or more operations such as sampling, grouping, ungrouping, or transformation operations, to perform on the first tensor of the multi-dimensional sample dataset. The system can parse the query, and execute the query to generate query results. The system can provide the query results as output.

Abstract: A method and system for automated creation of collages from a video sequence is provided. The system and method dynamically extracts key frames from a video sequence, which are used to create the collages shown on a display. By changing the position of cursors, a new set of key frames is extracted and the content of the collage will change correspondingly reflecting the changes in the key frames selection. The method also includes user interface elements to allow a user to change the layout design (e.g., rotate, overlap, white space, image scaling) of the video frames on the collage. In addition, the method includes different ways for browsing the video sequence by using automatically detected semantic concepts in various frames as indexing points. Further, the method includes defining swiping attributes based on motion characteristics (e.g., zoom/pan, motion of object), audio activity, or facial expression for browsing the video sequence.

Abstract: A method, computer system, and a computer program product for semantic matching is provided. The present invention may include pre-processing and normalizing a job title. The present invention may include deconstructing the job title based on at least one semantic element. The present invention may include training a machine learning model. The present invention may include creating a contextual word representation of the job title using the at least one semantic element of the job title. The present invention may include computing a similarity score for each of the at least one semantic element of the job title. The present invention may lastly include applying a weight to the computed similarity score before making a final match assessment.

Abstract: A method and system for automated routing of pictures taken on mobile electronic devices to a digital picture frame including a camera, microphone, and speaker integrated with the frame, and a network connection module allowing the frame for direct contact and upload of photos from electronic devices or from photo collections of community members. Clustering photos by content is used to improve display and to respond to photo viewer desires. Trends or patterns can be detected from the photo collections and that information used for various purposes beyond photo display. The frame includes a conversational intelligence that provides a verbal communication with a viewer, such as for determining an identity or preferences of the frame viewer, determining photos to display for the viewer, discussing displayed photos with the viewer, or telling stories to the viewer based upon photo content.

Abstract: An electronic audio file is received that comprises spontaneous speech responsive to a prompt in a non-native language of a speaker. Thereafter, the electronic audio file is parsed into a plurality of spoken words. The spoken words are then normalized to remove stop words and disfluencies. At least one trained content scoring model is then used to determine an absence of pre-defined key points associated with the prompt in the normalized spoken words. A list of the determined absent key points can be generated. This list can then be displayed/caused to be displayed in a graphical user interface along with feedback to improve content completeness. Related apparatus, systems, techniques and articles are also described.

Abstract: A document production system may construct a document from fragments based on a theme associated with the document. The theme may contain section(s), each section having an access control list (ACL) associated therewith. The ACL may specify role-based user group(s) and permission(s) for the role-based user group(s). The system may evaluate rules applicable to the document. At least one rule may pertain to the ACL(s). The evaluation may include, at least in part, utilizing user login information received over a network from a client device. In constructing the document, the system may assemble the document in accordance with the rules and utilizing the fragments and meta information that describes the document. The system may render the document thus assembled utilizing the ACL, generate a view of the document, and communicate the view of the document over the network to the client device for presentation on the client device.

Abstract: Disclosed is a membership analyzing method, including: obtaining data information of all members of a target group; classifying members with same first type information into a data set based on predetermined keywords; obtaining the type of first type information and data sets on condition that all members have been successfully classified into a corresponding data set, otherwise, if there is any remaining member failed to be classified into any data set, inputting data information of the remaining member into a predetermined classification model, to obtain the type of first type information and a data set of each remaining member; determining a tree structure of data sets based on the type of the first type information, and producing a graph for the tree structure; setting a same identification for the nodes of the same data set, and displaying second type information of each member in a display area.

Abstract: Disclosed herein are applications and platforms for streamlined production of charts and reports from databases containing time series datasets and/or timestamped data. The applications described herein may employ dynamically retrieve data from data centers to quickly provide options to the user. The platform further allows configuration of the charts and/or reports by providing lists of metrics that may be available in the selected data, and lists of transforms that may be applied to the data. The application may employ dynamic user interfaces, which provide processing of the received time series datasets in a data agnostic manner. As a result, the systems and methods described herein may allow generating charts and reports using a streamlined workflow.

Abstract: Technologies for unsupervised data classification include a computing device that generates a high dimensional profile for each column of a data store that is indicative of topological features of the column. The computing device also analyzes each column using multiple predetermined profiling rules and generates an initial classification for the columns based on profiling rule results. The initial classification may be applied to related columns based on clustering of the columns using the high dimensional profile. The computing device may train a machine learning model based on the initial classification and the high dimensional profile. Input features for training may include the profiling rule results and the high dimensional profile. Classifications may be provided to client devices via a predetermined interface. Other embodiments are described and claimed.

Abstract: Managed lifecycle roles are disclosed. Managed lifecycle roles may be used for secure credential vending or otherwise. For instance, an entity (e.g., administrator or other entity) requests, via an interface of a role manager, creation of a role associated with a lifecycle definition (e.g., an expression of an enforceable expiration of the role or similar characteristic). The role manager stores the role and role lifecycle definition to a data store. Another entity requests to use the role to perform some operation with respect to a resource. A credential service validates the request against a lifecycle definition for the role (and against an access control list, in some examples) and responds to valid requests with credentials useable to perform the operation with respect to the resource. The other entity uses the credentials to perform the operation with respect to the resource. A sweep process manages attributes of the roles.

Abstract: A system for managing web traffic comprising a meta control operating on a first processor having a first control interface and configured to generate a request for content and to transmit the request for content over a digital data network to a meta control server. The meta control server operating on a second processor and configured to receive the request for content and to select data for one or more second control interfaces as a function of data associated with the first control interface and to transmit the data for the one or more second control interfaces over the digital data network to the first control interface. The first control interface displays the data for the one or more second control interfaces and monitors user activity associated with the data.

Abstract: Method and system for extracting valuable words and forming a valuable word net, wherein a server is employed to collect contents of articles from internet sources, EDM texts (email direct marketing), product descriptions and other texts, and extract valuable words by machine learning. Each valuable word performs connection weight based on the number of times the text has been read, the number of times the text has been clicked, the number of times the text has been cited, the correlation of external sites, the conversion of expert knowledge, the probability space, the Shannon entropy, the spatial distribution and other values and their conversion by machine learning; then the linked valuable words are integrated to form a valuable word net. When the valuable words are needed to be used, the valuable words and the valuable word net can be retrieved from the database for subsequent applications.

Abstract: A method by which an electronic device interworks with an external device may be disclosed, the method comprising the operations of: obtaining an EM signal from the external device; extracting feature data by passing the obtained EM signal through a feature extraction model; receiving information related to the external device; generating registration information on the basis of the extracted feature data and the information related to the external device; and storing the generated registration information in a database of a memory, wherein the operation of receiving the information related to the external device provides an input interface for inputting information related to the external device, or shows at least one piece of pre-stored information related to the external device. In addition, other various embodiments identified through the specification are also possible.

Abstract: A computer-implemented method is disclosed that includes operations of receiving document to be classified, performing pre-processing operations on the document resulting in generation of a tokenized document, performing word embedding operations on the tokenized document resulting in generation of a vectorized document, performing text similarity operations on the vectorized document and each of one or more vectorized topics resulting in a set of one or more similarity scores, wherein a first similarity score indicates a level of similarity between the vectorized document and a first vectorized topic, and wherein each vectorized topic represents one of a predetermined set of topics and classifying the document into one of the predetermined set of topics based on the set of one or more similarity scores. Performing the word embedding operations includes mapping each token of the remaining subset to a multi-dimensional vector, with each multi-dimensional vector representing a semantic meaning of a token.

Abstract: Provided by the present disclosure is a new category tag mining method, involving the field of knowledge graph technology, and including: obtaining a plurality of queries during a current preset time period; labeling a category tag on each query of the plurality of queries, by using a pre-trained sequence labeling model, to extract the category tag currently corresponding to the query from the query; and removing a category tag already existing in a preset current category tag library from category tags currently corresponding to all the queries, and determining a remaining category tag as a new category tag. The present disclosure also provides an electronic device and a non-transitory computer-readable storage medium.

Abstract: Provided is a technique for determining a context of an image and an object depicted by the image based on the context. A trained context classification model may determine a context of an image, and a trained object recognition model may determine an object depicted by the image based on the image and the context. Provided is also a technique for determining an object depicted within an image based on an input location of an input detected by a display screen. An object depicted within an image may be detected based on a distance in feature space between an image feature vector of an image and a feature vector of the object, and a distance in pixel-space between an input location of an input and location of the object within the image.

Abstract: An image retrieval system receives an image for which to identify relevant images from an image repository. Relevant images may be of the same environment or object and features and other characteristics. Images in the repository are represented in an image retrieval graph by a set of image nodes connected by edges to other related image nodes with edge weights representing the similarity of the nodes to each other. Based on the received image, the image traversal system identifies an image in the image retrieval graph and alternatively explores and traverses (also termed “exploits”) the image nodes with the edge weights. In the exploration step, image nodes in an exploration set are evaluated to identify connected nodes that are added to a traversal set of image nodes. In the traversal step, the relevant nodes in the traversal set are added to the exploration set and a query result set.

Abstract: Techniques for implementing proactive data security operations for files using an analysis of access permission levels for the files are disclosed. In some embodiments, a computer system performs operations comprising: determining that data of a file includes sensitive information based on an analysis of the data using a data classification model; determining that access to the file is open using an access classification model; and based on the determination that the data of the file includes sensitive information and the determination that the access to the file is open, causing a notification to be displayed on a computing device of a user, the notification comprising an indication that the file includes sensitive information and that access to the file is open.

Abstract: A system for automatically labeling data using conceptual descriptions. In one example, the system includes an electronic processor configured to generate unlabeled training data examples from one or more natural language documents and, for each of a plurality of categories, determine one or more concepts associated with a conceptual description of the category and generate a weak annotator for each of the one or more concepts. The electronic processor is also configured to apply each weak annotator to each training data example and, when a training data example satisfies a weak annotator, output a category associated with the weak annotator. For each training data example, the electronic processor determines a probabilistic distribution of the plurality of categories. For each training data example, the electronic processor labels the training data example with a category having the highest value in the probabilistic distribution determined for the training data example.

Abstract: A method and an apparatus for browsing a table in a document, and an electronic device and a storage medium. The method includes: in a process of editing a table in an online document, receiving a table page jump instruction of a first table and jumping from a document page corresponding to the online document to a first table page for display; receiving a table switching instruction in the first table page; and switching from the first table page to a second table page for display according to the table switching instruction; where the first table page is used to display the first table, and the second table page is used to display a second table. Tables can be switched quickly, and the browsing speed of tables can be improved.

Abstract: A method and system of audibly broadcasting responses to a user based on user queries about a specific patient report, the method comprising receiving an audible query from the user to a microphone coupled to a collaboration device, identifying at least one intent associated with the audible query, identifying at least one data operation associated with the at least one intent, associating each of the at least one data operations with a first set of data presented on the report, executing each of the at least one data operations on a second set of data to generate response data, generating an audible response file associated with the response data and providing the audible response file for broadcasting via a speaker coupled to the collaboration device.

Abstract: A partial group by operator is a group by operator that implements a fallback mechanism. The fallback mechanism is triggered whenever memory pressure reaches a certain threshold. When the fallback mechanism is triggered, a row is included in an output of the partial group by operator without including an aggregation value for a grouping value for the row to an aggregation data structure. A final group by operator computes a final aggregate value of all results, including pre-grouped results and passed through results, from the partial group by operator.

Abstract: Disclosed are system and methods for digitally capturing, labeling, and analyzing data representing shared experiences between a service provider and a customer. The shared experience data is used to identify, test, and implement value-added improvements, enhancements, and augmentations to the shared experience and to monitor and ensure the quality of customer service. The improvements can be implemented as customer service process modifications, precision learning and targeted coaching for agents rendering customer service, process compliance monitoring, and as knowledge curation for a knowledge bot software application that facilitates automation of tasks and provides a natural language interface for accessing historical knowledge bases and solutions.

Abstract: Techniques described herein relate to a method for managing data nodes of data node clusters. The method includes obtaining, by a data node manager, a request to deploy a model to a data node; in response to obtaining the model deployment request: identifying, by the data node manager, a data node cluster associated with the data node; making a first determination, by the data node manager, that the data node cluster is associated with an available distilled dataset; and in response to the first determination: generating, by the data node manager, a model using the available distilled dataset; and deploying, by the data node manager, the model to the data node.

Abstract: This disclosure describes, in part, techniques for performing automatic document analysis. For instance, one or more computing devices may obtain a plurality of documents for analysis. The one or more computing devices may then analyze the documents to determine a respective comparative breadth score representing a breadth of each document, a respective comparative portion count score representing a number of documents portions included in each document, and a respective comparative differentiation score representing differentiation between the documents portions included in each document. In some instances, the one or more computing devices determine each of the scores based on comparing the respective breadth, respective number of document portions, and respective differentiation for each of the documents under analysis. The one or more computing devices can then determine a comprehensive score for each document using the respective scores, and generate a user interface that includes the overall scores.

Abstract: Systems for automatically suggesting content items to an author of a digital page so that they can be added to the page. One embodiment comprises a system having a page editor that launches a component browser to enable viewing of content items stored in a repository. A web content management server extracts textual information from a digital page that is open for editing and analyzes the information to identify words indicative of the page's subject matter. The system generates a query using the identified words and a search engine searches the repository for items associated with the identified words. The content items identified by the search are displayed by the component browser and are selectable to add particular suggested content items to the page.

Abstract: Disclosed are systems and method of mapping data entries originating in different systems. A plurality of data entries from different systems are normalized such that they can be compared to each other and mapped, even though the data entries are defined by data fields with differing phrases, descriptive details, and lengths of detail. Data entries may be filtered according to data fields before a mapping operation is employed for mapping. The mapping operation evaluates similarity scores based on the data fields using a combination of exact matching algorithms, dictionary matching algorithms, and text mining algorithms. The mapped data entries and data fields are displayed to a user.

Abstract: Systems, method, and computer-readable mediums for automated text classification, and particularly a mechanism for performing binary classification using only a set of positive labeled data as training data and having a large set of unlabeled data, where the algorithm can function without any information regarding the negative class. The disclosed classification systems and methods may use a text classification process which automatically classifies text based on the current positive training data available, but identifies additional words which can be added to the positive training data such that future iterations of the text classification can better identify the positive class of text.

Abstract: This application relates to apparatus and methods for automatically identifying substitute items. A computing device can generate matrix data that identifies connection values between a plurality of items. The matrix data may be generated based on the application of one or more machine learning algorithms to historical data identifying accepted or denied item substitutions. The computing device may then receive item data identifying at least one second item and at least one attribute of that second item. The computing device may generate a graph based on the matrix data and the item data to determine connection values between the second item and the plurality of first items. The computing device may then determine a substitute item (e.g., a replacement item) for the second item based on the connection values between the second item and the plurality of first items.

Abstract: Leveraging domain knowledge is an effective strategy for enhancing the quality of inferred low-dimensional representations of documents by topic models. Presented herein are embodiments of a Bayesian nonparametric model that employ knowledge graph (KG) embedding in the context of topic modeling for extracting more coherent topics; embodiments of the model may be referred to as topic modeling with knowledge graph embedding (TMKGE). TMKGE embodiments are hierarchical Dirichlet process (HDP)-based models that flexibly borrow information from a KG to improve the interpretability of topics. Also, embodiments of a new, efficient online variational inference method based on a stick-breaking construction of HDP were developed for TMKGE models, making TMKGE suitable for large document corpora and KGs. Experiments on datasets illustrate the superior performance of TMKGE in terms of topic coherence and document classification accuracy, compared to state-of-the-art topic modeling methods.

Abstract: A system and method for efficient management of a search database for retrieving context-based information, system including a database and processor, wherein the database includes columnar database for storing a plurality of documents, an ontological database configured to represent a plurality of concepts as nodes in a network and relationships between the concepts as edges between nodes and the search database configured to store an inverted index of the plurality of documents in the columnar database. Herein, the processor is configured to identify, using the ontological database, a set of concepts in each of the plurality of documents and store, in the search database, corresponding to a given document the set of concepts identified in the given document, and secondary concepts relating to the given document, wherein a secondary concept has a direct relationship in the network with at least one of the concepts in the set.

Abstract: The present disclosure relates generally to taxonomies. More particularly, techniques are described for receiving a taxonomy as input, automatically generating data structures representing the taxonomy, determining content that is relevant to different concepts of the taxonomy, and generating an interface that enables users to access and navigate through the taxonomy-related content. The taxonomy specification may specify a taxonomy for a domain including various concepts related to the domain and hierarchical relationships between the concepts. Based on the taxonomy specification, a taxonomy structure may be generated for the taxonomy, the taxonomy structure including multiple taxonomy nodes corresponding to the multiple concepts. Content stored by a social networking system (SNS) may be searched to identify content relevant to each taxonomy node. Using relevant content identified, multiple web pages may be built with for the multiple taxonomy nodes in the taxonomy structure.

Abstract: Systems and methods of task implementation are extended as provided herein and target the web crawling process through a step of submitting a request by a customer to a web crawler. The systems and methods allow a request for a web crawler to be enriched with a customized browsing profile in order to be categorized as an organic human user to obtain targeted content.

Abstract: Techniques for associating a selected search result, for a current query, with a recently executed prior query are disclosed. The system receives a first query from a user and presents a first set of search results. The system receives a second query from the user, subsequent to presenting the first set of search results, and presents a second set of search results. The system determines that a user selects a particular search result from the second set of search results. The system determines an association between the first query and the second query. Responsive to determining that the user selected the particular search result and the association between the first query and the second query, the system associates the particular search result with the first query. Subsequently, the system receives a new request for execution of the first query and, in response, presents at least the particular search result.

Abstract: Systems and methods for modifying three-dimensional digital items to fit different character models are described herein. In an embodiment a machine learning system is configured to compute a shape and size of three-dimensional digital objects to fit a second character model based on the shape and size that the same three-dimensional digital objects have to fit a first character model. A server computer receives particular input data defining a plurality of particular input vertices for a particular input three-dimensional digital object fit for the first character model. In response to receiving the particular input data, the server computer computes, using the machine learning system, particular output data defining a plurality of particular output vertices for a particular output three-dimensional digital object, the particular output three-dimensional digital object comprising the particular input three-dimensional digital object fit for the second character model.

Abstract: Systems and methods are provided for classifying and filtering data, including receiving a query via a platform, the platform including platform data; clustering the query to create a query cluster; identifying a domain of the query cluster; clustering the platform data to create platform data clusters; identifying a corresponding platform data cluster, the corresponding platform data cluster being one of the platform data clusters that is in a same domain as the domain of the query cluster; assigning a rank to one or more portions of the platform data within the corresponding platform data cluster; and routing at least one of the portions of the platform data having a rank greater than a threshold.

Abstract: Potential client/small business data and specialist profile data for multiple, and in various embodiments, hundreds, thousands, tens of thousands, hundreds of thousands, millions, tens of millions, or even hundreds of millions or more, potential clients/small businesses and specialists are used to train one or more matching models in an offline training environment using machine learning techniques. Once the one or more matching models are trained, the one or more matching models are used in an execution environment to process a given user's data and available specialist data to identify one or more available specialists determined to be a good match for the user. The user is then provided specialist recommendation data listing the matched available specialists and, in some cases, the user is provided one or more communication mechanisms for connecting with matched available specialists selected by the user.

Abstract: The disclosure relates to identifying a user intent of a statement. When a user intent of a to-be-analyzed statement needs to be determined, at least one historical statement of the to-be-analyzed statement can be determined from an human-computer interaction session. A historical vector determined with reference to a statement vector of the to-be-analyzed statement and a statement vector of the at least one historical statement may comprise related content in the historical statement, and the content may be associated with the content of the to-be-analyzed statement. If the user intent of the to-be-analyzed statement is determined with reference to the historical vector, then the content related to the to-be-analyzed statement comprised in the historical vector may be used as an additional determination reference, so that the accuracy of determining the user intent of the to-be-analyzed statement can be improved.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform acts of collecting historical data of a user; converting the historical data of the user into at least one feature vector; calculating a first user propensity score for the user using the at least one feature vector; calculating a second user propensity score for the user using the at least one feature vector, the second user propensity score representing a different user propensity than the first user propensity score; normalizing the first user propensity score; normalizing the second user propensity score; using the first user propensity score, as normalized, to place the user into a first segment; using the second user propensity score, as normalized, to place the user into a second segment different than the first segment; and facilitating delivery of a message to the user based on the first segment and the second se