97results about How to "High score" patented technology

A level of trust is determined based on a combination of scores for one or more successful authentications. Scores indicate relative degrees of reliability for authentications, so that differing authentication methods may correspond to different scores. The determined level of trust can then be used to allow or deny access to a resource, and can be used to specify the type of access that is allowed, if applicable.

The invention is a method for textual searching of text-based databases including databases of compiled internet content, scientific literature, abstracts for books and articles, newspapers, journals, and the like. Specifically, the algorithm supports searches using full-text or webpage as query and keyword searches allowing multiple entries and an information-content based ranking system (Shannon Information score) that uses p-values to represent the likelihood that a hit is due to random matches. Additionally, users can specify the parameters that determine hits and their ranking with scoring based on phrase matches and sentence similarities.

A method for constructing geo-location service replies (e.g. “You are near Bob's Café”, or “Proceed one block north to Bob's Café”) based on landmark-related relevance factors (e.g. if the user's location is close to a known landmark or sponsored location) to serve to a client terminal (e.g. a user's a mobile telephone, a smart phone, a GPS terminal). The system receives a user's geo-location service request (e.g. “Where am I”), and proceeds to construct one or more response candidates to service the user's geo-location service request. Candidate replies are then scored based on relevance factors (e.g. does the candidate location relate to the user's recent geo-service queries, is there a sponsored landmark in general proximity, etc), and high scoring geo-service replies are sent to the user's client terminal. In some cases, more than one relevance factor is considered (e.g. proximity relevance, visibility relevance, familiarity relevance, etc).

A method for receiving feedback at a call center includes receiving a call from a caller for connection with one of a plurality of agents and distributing the call to a first agent of the plurality of agents. The method includes initiating a first communication session with the caller and the first agent to handle the call. The method also includes initiating a second communication session with the caller. The second communication session comprises a feedback session parallel to the first communication session. The method also includes receiving from the caller feedback relating to the first communication session between the caller and the first agent.

Automatic white balancing and / or autoexposure as useful in a digital camera extracts color channel gains from comparisons of image colors with reference colors under various color temperature illuminants and / or extracts exposure settings from illuminance mean, illuminance variance, illuminance minimum, and illuminance maximum in areas of an image with a trained neural network.

A method and apparatus for calculating individual or collective safe scores for properties with loans. These safe scores are useful in comparing the risk of loss due to exposure in the case of a default on the loan or loans being evaluated and may be used to objectively compare individual loans or groups of loans for such risk and for the worthiness for refinancing or additional lending.

Embodiments of the invention relate to hosting a competition on a computing device, wherein the competition allows participants to select a first set of predicted winners for a predetermined series of matches in a tournament and a second set of predictions for winners if one or more of the first set of predicted winners are eliminated earlier than predicted. The competition may be implemented in any suitable computing system environment, including, but not limited to, a web-based competition hosted on a remote server, a private or company-based competition hosted on a private or company computer.

A portable entertainment machine (1) is used for storing, displaying and swapping digital objects such as virtual swap cards or tokens, video clips, or game features relating to a game that can be played on the machine. The machine has a selected article window display (8) in which the user can display digital objects, or icons (8a, 8b, 8c, 8d) corresponding to digital objects, that have been selected by the machine user as being potentially available for swapping with another machine. The machine is provided with a short-range wireless transceiver (7) and when the machine comes within range of another such machine, the possibility arises of a digital object swap transaction. Articles offered for swap by the second machine (1'), FIG. 2, are displayed in a reciprocal display portion (10) of the display 3 of the first machine, and the content of the selected article display (8) of the first machine is displayed to the user of the second machine in the reciprocal display portion (10) of the second machine (1'). The user of the first machine can indicate a proposed swap in the linking indicator display portion (9). If both machine users agree on a proposed swap then the swap is executed. Additional digital objects may be acquired by purchase from a static digital object vending machine, FIG. 6, by means of short-range wireless communication.

The embodiment of the invention provides a fraud recognition method and a fraud recognition device. The method comprises steps: a transaction data sample set is acquired, wherein each piece of transaction data in the sample set at least comprises fund flow information, transaction party correlation information and transaction data fraud risk attributes; a fraud spreading relation graph is built according to the sample set, wherein each node in the fraud spreading relation graph is built according to the transaction party correlation information, and the directed edge between the nodes is builtaccording to the fund flow information and the transaction party correlation information; an initial node value is assigned to each node in the fraud spreading relation graph; according to a PageRankiterative updating algorithm, the node value of each node is subjected to iterative updating until iterative convergence to obtain a final node value; and if the final node value is higher than a preset threshold, the corresponding node is determined to be a fraud person node, and the transaction data correlated to the fraud person node are fraud risk data.

An information processing device includes an audio-based speech recognition processing unit which is input with audio information as observation information of a real space, executes an audio-based speech recognition process, thereby generating word information that is determined to have a high probability of being spoken, an image-based speech recognition processing unit which is input with image information as observation information of the real space, analyzes mouth movements of each user included in the input image, thereby generating mouth movement information, an audio-image-combined speech recognition score calculating unit which is input with the word information and the mouth movement information, executes a score setting process in which a mouth movement close to the word information is set with a high score, thereby executing a score setting process, and an information integration processing unit which is input with the score and executes a speaker specification process.

A method and apparatus for generating search results with higher relevancy. The present invention exploits the fact that users' choices on each given search term tend to converge to several products from several merchants, and all of the results are very relevant to the search term. In one embodiment, these results are used to decide the order of merchants for each search term. By learning the users' choices, especially from purchasing and / or clicking information, highly relevant and most popular products can be assigned a higher score or rank over text relevant only products.

The present application relates to a big data analysis-based early warning information push method, an early warning information push device, a computer device and a storage medium. The method includes the following steps that: the risk data of a target customer are acquired; the risk data are quantified, so that a plurality of risk indicators are obtained; the risk indicators are inputted into apreset risk prediction model, so that a first risk score is obtained; a plurality of rule expressions are obtained, the rule expressions are adopted to perform risk prediction on the risk data, so that a second risk score can be obtained; and the first risk score and the second risk score are compared with each other, so that a high score value is obtained; and an early warning prompt is generatedaccording to the high score value, and the early warning prompt is pushed to a monitoring terminal. With the method adopted, the reliability of early warning information can be improved, and the false negative rate of risks can be reduced.

A healthcare risk index is generated using a patient or individual's pharmacy claims. The index may be used to explain and predict variation in pharmacy-related costs and variation in total healthcare costs or utilization. In particular, the index is generated by first examining the individual's pharmacy claims to identify any chronic conditions possessed by the individual. Similarly, the individual's pharmacy claims are examined to identify any compliance medications prescribed to the individual. The chronic condition information is used to generate a chronic condition score by summing regression coefficients for each chronic condition possessed by the individual. Likewise, the compliance medication information is used to generate a compliance medication score by summing products of regression coefficients for each compliance medication prescribed to the individual with associated medication supply weights. From there, a modified chronic condition score is generated by multiplying the chronic condition score by an overall chronic condition regression coefficient. The modified chronic condition score may then be further modified by subtracting a no-claims weight from the chronic condition score in cases where the individual has no pharmacy claims. Finally, the risk index may be determined by summing the modified chronic condition score and the compliance medication score.

A method, system, apparatus, and computer program product provide the ability to present media content on a social media network. Live streaming data is received from multiple data sources. The data is enriched with meta information using internal systems via application programming interfaces (APIs). The live streamed data is transformed and transmitted, based on the meta information, to one or more users on a social media network.

Disclosed herein is a path planning apparatus and method of a robot, in which a path, along which the robot accesses an object to grasp the object, is planned. The path planning method includes judging whether or not a robot hand of a robot collides with an obstacle when the robot hand moves along one access path candidate selected from plural access path candidates along which the robot hand accesses an object to grasp the object, calculating an access score of the selected access path candidate when the robot hand does not collide with the obstacle, and determining an access path plan using the access score of the selected access path candidate.

The invention provides a deep reinforcement learning method and device based on multiple historical optimal Q networks for an intelligent robot interaction system comprising an agent, and the method comprises the steps: defining the attributes and rules of the agent, defining the state space and action space of the agent, and constructing or calling an agent motion environment; selecting an optimal plurality of Q networks from all historical Q networks based on the level of the interaction evaluation score; combining the plurality of historical optimal Q networks with the current Q network byusing a maximum operation, guiding an agent to select an action strategy, training parameters of a learning model, and autonomously carrying out a next decision action according to an environment where the agent is located. According to the method, a reasonable motion environment can be constructed according to actual needs, the optimal Q network generated in the training process is used for better guiding the intelligent agent to make decisions, the purpose of intelligent strategy optimization is achieved, and the method has a positive effect on development of robots and unmanned systems in China.

Disclosed is a method of performing written character recognition, including sequentially comparing a given input character with one of a series of stored character models. The step of comparing further includes the steps of: decomposing the given input character into one or more segments in accordance with a segmentation scheme associated with the present character model; evaluating the segment or segments against a segment model associated with the present character model, such that the evaluation produces a score which measures the degree of conformity with the model; repeating said step of comparing for a plurality of character models in the series of character models; and selecting the character model which is assigned the highest score and classifying the input character as the character associated with that character model.

A system for sharing score experiences includes one or more devices on which one or more games are played, a gameplay experience service arrangement and a communication arrangement for communicatively coupling the devices to the gameplay experience service arrangement. The devices include computing hardware for executing one or more games software products for implementing the one or more games when executed upon the computing hardware. The devices are operable to record a gameplay experience (GEV) played thereupon including an associated score, wherein the one or more devices are operable to upload their recorded gameplay experiences (GEV) and associated score to the gameplay experience service arrangement which maintains a score list corresponding to the uploaded gameplay experiences. The score list is accessible to the devices for identifying relative gameplay performances of users of the devices, for example via replaying of the recorded gameplay experiences.

The embodiment of the invention relates to the technical field of communication, and discloses an editing method, electronic equipment and a computer readable storage medium. The editing method provided by the invention comprises the following steps: scoring each video clip in a to-be-edited video according to a preset scoring factor for representing the wonderful degree of the video, and obtaining the score of each video clip. According to the editing method, the video clips with the scores larger than the preset threshold value are edited, and the edited video is obtained, and wonderful clips in the video can be edited efficiently, accurately and automatically, and meanwhile manpower can be saved.

Disclosed is a method of performing written character recognition, including sequentially comparing a given input character with one of a series of stored character models. The step of comparing further includes the steps of: decomposing the given input character into one or more segments in accordance with a segmentation scheme associated with the present character model; evaluating the segment or segments against a segment model associated with the present character model, such that the evaluation produces a score which measures the degree of conformity with the model; repeating said step of comparing for a plurality of character models in the series of character models; and selecting the character model which is assigned the highest score and classifying the input character as the character associated with that character model.

Systems for identifying, summarizing, and communicating topics and keywords included within an input file are disclosed. The systems include a server that receives one or more input files from an external source; conducts a speech-to-text transcription (when the input file is an audio or video file); and applies an algorithm to the text in order to analyze the content therein. The algorithm calculates a total score for each word included within the text, which is calculated using a variety of metrics that include: a length of each word in relation to a mean length of words, the frequency of letter groups used within each word, the frequency of repetition of each word and word sequences, a part of speech that is represented by each word, and membership of each word within a custom set of words. The systems are further capable of generating a graphical representation of each input file, which depicts those parts of the input file that exhibit a higher total score from those that do not. In addition, the systems allow users to publish commentary—through an email interface—to such graphical representations of the input files.

The present invention provides a method and system for managing career data using a computing environment. The method and system includes receiving user career-related data from an input source and generating a rating of the user career-related data, wherein the rating is dynamically updated over time as contributing factors change. The method and system further includes generating a gap analysis of the user career data from the general career data, wherein the gap analysis includes at least one determination of delta factors between the user career data and the general career data.

In a game played by a plurality of game machines through teamwork, an evaluation is performed according to the correlation among operation information obtained through communications with each of the game machines. A plurality of game machines communicate with one another to establish timing synchronization. After the game, input timings at which buttons are operated during the game are collected and then evaluated so as to determine an absolute and relative timing coincidence in a predetermined period (unison part). A predetermined number of points are added to its game score based on the evaluation.

A sales forecasting system (10) and method receives weather data and make sales forecasts for one or more products using the weather data. More specifically, a manufacturer or distributor of the products may use the system (10) and method to generate a sales forecast for each product at each of a plurality of stores based on the weather data that applies to each store. The sales forecasts are then sent onto any interested parties, such as the stores or distributors associated with each store, in an effort to ensure the stores retain sufficient stock of the products to meet the sales forecast. The manufacturer may also be able to use the sales forecasts to plan manufacturing cycles of the products. In this manner, all of the interested parties are able to minimize store outages while maximizing shelf and storage space, thereby maximizing potential profits and minimizing operating costs.

A system and method for efficiently caching metadata in a storage system. Addresses from a plurality of I / O accesses to the storage system are captured and then a frequency domain representation of the addresses is generated. The frequency domain representation is used to measure the randomness of the various applications which are accessing the storage system. Scores are generated based on the measure of randomness, and scores are assigned to the various regions of the logical address space. Scores are then assigned to the metadata pages which are stored in the cache based on the region of the logical address space to which the metadata pages correspond. The scores are used when determining which metadata pages to evict from the cache. The cache will attempt to evict those metadata pages which correspond to regions of the logical address space that are servicing random I / O accesses.

A game system comprises: a display device 3; an input device for outputting a signal according to a player's operation; and a control device 10 for advancing a fishing game utilizing a contrivance such as a lure in a virtual fishing spot with reference to an output of the input device 4, and displaying an image according to the progress on a screen of the display device 3. In this game system, a lure operation is guided to the player through the screen of the display device 3 by means of the control device 10. The guided operation is compared with the lure operation caused by the player via the input device 4, and the player's lure operation is evaluated. This evaluation is notified to the player, and the progress in fishing game is changed according to the evaluation. In this manner, a game system capable of continuously stimulating the player by eliminating a monotonous aspect in work for catching a fish is provided.

In a game played by a plurality of game machines through teamwork, an evaluation is performed according to the correlation among operation information obtained through communications with each of the game machines. A plurality of game machines communicate with one another to establish timing synchronization. After the game, input timings at which buttons are operated during the game are collected and then evaluated so as to determine an absolute and relative timing coincidence in a predetermined period (unison part). A predetermined number of points are added to its game score based on the evaluation.