Abstract: A central database system trains a machine-learned model based on training data identifying characteristics of account holder entities, characteristics of account provider entities, and relationships between the account holder entities and account provider entities. For a target entity, the central database system then identifies a target set of account provider entities, and applies the trained machine-learned model to identify a subset of the target set of account provider entities. The identified subset of account provider entities are entities that, if recommended to the target entity, are most likely to result in an established relationship with the target entity. A recommendation is then generated for display to the target entity, the recommendation identifying the subset of account provider entities and including interface elements that, if selected by the target entity, cause a notification identifying the target entity to be sent to a corresponding account provider entity.

Abstract: The present application discloses an article quality scoring method and device, a client, a server, and a programmable device. The method includes: obtaining browsing behavior information of a user when the user browses a target article; obtaining a browsing behavior score of the user for the target article according to the browsing behavior information and a corresponding browsing behavior coefficient; and obtaining an article quality score of the target article according to obtained browsing behavior scores of multiple users for the target article.

Abstract: The present technology includes systems and methods for searching for social profiles based on user search queries and sorting search results based on determining and matching personal similarities. In some implementations, the systems and methods retrieve a plurality of search results that either partially or fully match a search query by a user of an online community for a particular social profile. The systems and methods determine a plurality of personal similarity factors relating to the search results and compare them to the profile of the user requesting the search based on predetermined criteria and assign varying weights to the personal similarity factors. The weights are aggregated and total scores for the search results are computed. The systems and methods sort the search results based on the total scores to identify and separate results of greater interest to the user from those that of less interest.

Abstract: A method for enabling a user to submit proposed photos of the user, remotely, and in confidence, to a peer user to have the peer user review and rank each of the photos in order of preference, and to receive the results of the review and ranking made by the peer user. The peer user feedback may be then considered in assisting the user in determining which photos the user should upload to a given social media website to portray the user.

Abstract: A database query gateway includes a query request interface configured to receive a query request and extract query parameters from the query request and a database endpoint interface configured to modify a stored query based on the query parameters, to transmit the modified query to a database endpoint, and to receive from the database endpoint query results based on the modified query. The database query gateway further includes a reporting engine interface configured to convert the query results into a reporting engine format.

Abstract: Systems and methods are disclosed for creating a user profile for a subject user based on historical aggregate profile data for locations at which the subject user was previously located. In one embodiment, one or more location and time period pairs are determined for the subject user. Each location and time period pair defines a previous location of the subject user and a time period during which the subject user was at the previous location. Historical aggregate profile data is obtained for the location and time period pairs. For each location and time period pair, the historical aggregate profile data is generally an aggregation of user profiles of a number of users relevant to the location and time period pair. A user profile for the subject user is then created based on the historical aggregate profile data for the one or more location and time period pairs.

Abstract: Provided is a method of automatically extending a seed set. Based on an input seed set, initial seed set candidates are generated. Also generated are categories that will vote on the initial seed set candidates. A weight for each category is determined and each initial seed set candidate is scored. The final seed set candidates are selected from the initial seed set candidates based on their scores.

Abstract: A computer-implemented method includes receiving a search query that includes a user specified search criteria directed toward one field of a plurality of fields associated with a synonym group, and performing a search of a database of a scientific data information system based on the search query. In addition to the user specified search criteria, the search includes all of other the fields associated with the defined synonym group.

Abstract: An internal state of a user and a situation of the user are complementarily used to recommend optimal information for the individual user. An information providing system according to the present invention estimates a current strength of a desire of the user and a current situation of the user to refer to a database describing combinations of the strength and the situation to thereby present items that can satisfy both the desire of the user and the situation of the user.

Abstract: A system and methods for using data from an external database compiled from real device used for testing and simulation of a system. The system includes an external database interface to access an external database. The external database includes a plurality of categories of time-value data collected from an electrical device. An importer converts one of plurality of categories of time-value data to a corresponding topic of a common data format. A device profiler is coupled to the importer to create a device profile including the converted topic. A database profiler creates a database profile representing a system including a device defined by the device profile and including the category of time-value data.

Abstract: Embodiments relate to methods and systems for building representations of related subjects. The representations may include a plurality of nodes, each being associated with a subject. Users may be able to access records and/or source documents related to a plurality of subjects and add or modify node characteristics based thereon. Users may be able to perform an interaction and/or modification related to a record page. Other users (e.g., users connected to the record page) may be notified of such interaction and/or modification.

Abstract: Systems and methods are described for performing the dynamic generation of correlation scores between arbitrary objects. When a behavioral event is recorded, that is to say when an end user interacts with multiple objects, relationships between objects are created. These relationships are maintained as a list. When a request for correlated items is requested based upon a seed object, a list of correlated items is dynamically created through the generation of a pivot set and a scoring algorithm to compute the list of correlated items.

Abstract: A method of selecting and presenting content based on inferred user preferences is provided. The method includes providing a set of content items having associated descriptive terms and receiving search inputs from an input device and presenting a corresponding subset of content items. The method includes receiving selection actions of content items and analyzing the descriptive terms associated with the selected content items to learn a composite set of preferred descriptive terms of the plurality of users of the input device. The method includes inferring preferences of individual users from the composite set of preferred descriptive terms by decomposing the composite set of preferred descriptive terms into individual sets of preferred descriptive terms. The decomposition act utilizes prespecified statistical models of preferences.

Abstract: A data profile engine identifies, classifies, analyzes, searches, compares and cross-references entire files and sections of files, records and other forms of electronic media, and a tool creation engine in combination with the data profile engine builds custom solutions and product interfaces.

Abstract: Personalized health information is provided by maintaining a patient profile over time and matching information from the patient profile to appropriate patient-centric information related to that patient's specific medical condition. The patient profile can include a variety of medical information. The patient profile is matched, for example, to patient-centric options for care, clinical trials for which the patient is eligible, drug treatment regimens directly related to each patient's specific condition, scheduling of the treatments, survivorship plans and data, information about managing symptoms, nutritional information, rehabilitation recommendations, possible adverse events based on specific treatments to monitor, and personalized education and information. The patient profile can be populated with information from a database, such as one associated with a cancer registry.

Abstract: A predictive model generator that enhances customer experience, reduces the cost of servicing a customer, and prevents customer attrition by predicting the appropriate interaction channel through analysis of different types of data and filtering of irrelevant data. The model includes a customer interaction data engine for transforming data into a proper format for storage, data warehouse for receiving data from a variety of sources, and a predictive engine for analyzing the data and building models.

Abstract: Systems and methods that supply changes on-the-fly and without breaking execution of codes for schema changes in a peer-to-peer environment. The modification component supplies changes to peers or nodes in a topology by initially identifying dependencies (e.g., multiple level) of that can be affected by the schema change, followed by performing the schema change to the codes or stored procedures. Accordingly, dependencies in entire system can be refreshed, wherein multiple levels of dependencies can exist.

Abstract: A computer server hosting a website wherein the computer server executes program instructions, the programming instructions comprising: authenticating a valid customer; entering survey data and comments about a service provider by the valid customer from a computer system coupled to the server; adding survey score and comments to a database of the service provider; post survey score and comments on the website; filtering survey data and comments for triggers indicating potential liability for the service provider; and notifying the service provider of the potential liability.

Abstract: Document summarization is performed by scoring individual words in sentences in a document or document cluster. Sentences from the document or document cluster are selected to form a summary based on the scores of the words contained in those sentences.