A system and method of statistically comparing sports-entities provides real-time data for better informed sporting bets. The system includes at least one remote server and a plurality of personal computing (PC) devices. A plurality of user accounts and at least one real-time sport database are managed by the remote server. The method begins by prompting each user account to enter a sports-entity search query with a corresponding PC device. The sport-entity search query is relayed from the corresponding PC device to the remote server. The sports-entity search query is then compared to the identification information of each sports-entity profile in order to identify a matching profile from the plurality of sports-entity profiles. A plurality of iterations is executed in order to identify a plurality of matching profiles. Information for each matching profile is compiled into a graphical comparison, and the graphical comparison is outputted with the PC device.

In an embodiment of the invention there is provided a method of visual localization, comprising: generating a plurality of virtual views, wherein each of the virtual views is associated with a location; obtaining a query image; determining the location where the query image was obtained on the basis of a comparison of the query image with said virtual views.

Roughly described, a system for user identification of a desired document. A database is provided which identifies a catalog of documents in an embedding space, the database identifying a distance in the embedding space between each pair of documents corresponding to a predetermined measure of dissimilarity between the pair of documents. The system presents an initial collection of the documents toward the user, from an initial candidate space which is part of the embedding space. The system then iteratively refines the candidate space using geometric constraints on the embedding space determined in response to relative feedback by the user. At each iteration the system identifies to the user a subset of documents from the then-current candidate space, based on which the user provides the relative feedback. In an embodiment, these subsets of documents are more discriminative than the average discriminativeness of similar sets of documents in the then-current candidate space.

A decision support system and method, which receives user inputs comprising: at least one user criterion, and at least one user input tuning parameter representing user tradeoff preferences for producing an output; and selectively produces an output of tagged data from a clustered database in dependence on the at least one user criterion, the at least one user input tuning parameter, and a distance function; receives at least one reference-user input parameter representing the at least one reference-user's analysis of the tagged data and the corresponding user inputs, to adapt the distance function in accordance with the reference-user inputs as a feedback signal; and clusters the database in dependence on at least the distance function, wherein the reference-user acts to optimize the distance function based on the user inputs and the output, and on at least one reference-user inference.

An entity-based platform stores a database of entity mentions and related, entity-based information obtained by processing text in a corpus of documents such as content from a public network or content from a document management system. The platform may analyze changes to a previously-processed document in order to align mentions in the modified document to mentions in a prior document and/or to identify new mentions not present in the previously-processed document. As the underlying documents in the corpus change over time, this advantageously permits sustained use of knowledge graphs and other entity-based representations or analysis linked to specific entity mentions.

A method and system automatically generates a display of symbolic equations from a graphical model (or vice versa) which is readable, parametric, and interactive.

Systems and methods are provided for automatically determining an intent of a user based on an intent model to attach a file to a document, prompting the user to confirm the intent using a predetermined character in an inline nudge, generating and displaying an inline menu with an interactive list of ranked files as a suggestion for attachment. The disclosed technology uses the intent for specifying a scope of the inline search. The intent model for attaching content maintained by third-party applications uses a combination of an embeddings model and an N-gram model with limited seed queries and determines the intent based on intent scores associated with respective third-party applications. The present disclosure ranks respective candidate content based on a degree of relevance to the intent. The user selects one or more content from the list for attaching to the document.

An example system may include instructions to control processor(s) to receive text from content of a first web page, determine, based on the content, a first title topic indicator, a first sentiment indicator, and a first text subjectivity indicator, apply the first title topic indicator, the first sentiment indicator, and the first text subjectivity indicator to a credibility machine learning model to generate a first content credibility score and a first content bias score for the text of the first web page, the credibility machine learning model being trained on text from other web pages using known title topic indicators, known sentiment indicators, and known text subjectivity indicators, and known credibility scores and bias scores, generate a first graphical representation for the first content credibility score and the first bias credibility score, and provide the graphical representation to a first digital device.

The present invention discloses a system comprising a server and a database storing data pertaining to a plurality of electronic documents, wherein the server is configured to: send a list including one or more electronic documents to a client device for presentation to a user, wherein the list enables the user to select one of the one or more electronic documents; upon selection of a given electronic document from the one or more electronic documents, retrieve data pertaining to the given electronic document from the database, wherein the retrieved data indicates entities and their inter-relationships; generate a document knowledge graph representing the entities and their inter-relationships as specific to the given document, wherein the document knowledge graph is user controllable; and send the document knowledge graph to the client device for presentation to the user, generate and provide an interface that includes the generated document knowledge graph, wherein the document knowledge graph enables the user to selectively look into a specific entity or interrelationship.

Methods and systems for generating a search expression. The system begins with an empty search expression, and iteratively expands the search expression until some terminating condition is reached.