86 results about "Composite score" patented technology

A solution for evaluating a plurality of entities includes assigning an attribute score to each entity for each of a multitude of attributes. For one or more of the attributes, the corresponding attribute score is assigned based on a ranking of each entity with respect to the other entities for the attribute. A composite score is generated for each entity based on the attribute scores for the attributes, which can be further processed to, for example, identify a set of suspicious entities.

The profitability and effectiveness of a marketing program is increased by segmenting the customer population according to a combination of different segmentation strategies. A number of independent segmentation strategies are performed on the customers, each strategy resulting in its own set of scores. The sets of scores are then combined to form a composite score for each customer which is used to generate a ranked list of the customer population. Furthermore, different composite scores can be determined using different possible methods and these different scores can, themselves, be combined to generate an overall score and ranking for each customer. The targeted recipients for particular marketing materials are selected based on these rankings.

Described are methods, systems, apparatuses, computer program products embodied in a computer-readable storage medium and means for providing online challenges between bands in a musical video game. Typically the invention is executed on a game server in signal communication with a game platform and involves receiving, by the game server, musical game input data representing a musical performance of a band. Then, the game server calculates a composite score from the input data based on a gameplay challenge. Then the composite score is compared to a composite score of a second band's performance for the same gameplay challenge. In some embodiments, the comparison is displayed as a real-time representation of the two bands, even though score of the second band is based on a stored performance of the second band.

A computer implemented method and system is provided for validating a user associated with one or more social networks. A validation platform associated with the social networks is provided. The validation platform identifies a user for the validation from the social networks. The validation platform retrieves social information of the identified user from the social networks. The social information comprises relationship information of and between the identified user and social contacts of the identified user on the social networks. The validation platform acquires feedback on the identified user from one or more of the social contacts. The validation platform generates one or more validation scores, for example, an evaluation score, a feedback authentication score, a user authentication score, a composite score, etc., for the identified user based on the retrieved social information and/or the acquired feedback. The generated validation scores enable validation of the user associated with the social networks.

A system and method for scoring documents is described. One or more documents are identified responsive to a search criteria. A text match score indicating a quality of match of the identified documents is determined. A category match score is determined over categories. A document-categories score is determined indicating a quality of match between an identified document and a plurality of categories. A search criteria-categories score is determined indicating a quality of match between the search criteria and the categories. An overall score is determined based on the text match score and the category match score.

A method and system of screening a player for a gaming opportunity, including obtaining disparate data of a player from a plurality of data sources, weighting the player data based on at least one business rule, and applying the weighted player data to at least one decision model to generate at least one composite score indicative of a scale of eligibility of the player for the gaming opportunity.

A computing device forms a predictive composite score by retrieving geographically based wireless networking performance data derived from at least one mobile device. At least some of the geographically based wireless networking performance data is temporally averaged and geostatistically combined to form the predictive composite score. The predictive composite score is a forecast of expected performance quality of a wireless communication network in a particular geographic region.

A computer implemented method uses a database of detailed, comprehensive utility operating and financial information. The method comprises: (1) feature based matching or similarity based benchmark and focus group selection; (2) a performance assessment procedure comprising multi-perspective analysis; and (3) multi-attribute business profiling and performance improvement potential analysis. As part of the performance assessment step, data corresponding to different utilities in a selected benchmark group are compared with each other to find their strengths and weaknesses. Interpretation of these gaps provides the cause of such gaps. Composite ranking analysis is used so that a composite score of at least one utility business is obtained.

The quality of video that is broadcast as a packet-based video stream is measured using decoded pictures in combination with information extracted from the transport stream and elementary stream layers of the packet-based video stream. The decoded pictures include selected frames and/or slices decoded from the packet-based video stream and are used to generate video content metrics. A composite score for the video quality can be generated from the video content metrics in combination with quality metrics of the transport stream and/or the elementary stream. If the composite score falls below a minimum score, a snapshot of the video is captured for later analysis.

A computerized method of detecting a target word in a speech signal. A speech recognition engine and a previously constructed phoneme model is provided. The speech signal is input into the speech recognition engine. Based on the phoneme model, the input speech signal is indexed. A time-ordered list is stored representing n-best phoneme candidates of the input speech signal and phonemes of the input speech signal in multiple phoneme frames. The target word is transcribed into a transcription of target phonemes. The time-ordered list of n-best phoneme candidates is searched for a locus of said target phonemes. While searching, scoring is based on the ranking of the phoneme candidates among the n-best phoneme candidates and based on the number of the target phonemes found. A composite score of the probability of an occurrence of the target word is produced. When the composite score is higher than a threshold, start and finish times are output which bound the locus. The start and finish times are input into an algorithm adapted for sequence alignment based on dynamic programming for aligning a portion of the phoneme frames with the target phonemes.

A Web site quality measurement system and method. The Web site quality measurement method can include logging visitor data and session data for a Web site viewing session established between a Web site visitor and a Web site having one or more Web site pages. The logged visitor data and session data can be individually evaluated based upon pre-established ranking criteria. Subsequently, a composite score can be computed for the Web site viewing session based upon the individually evaluated data.

An auction method for implementing attribute-based bidding and bid comparison in an electronic exchange. A specification defining an auction for an item is received, wherein the specification comprises a plurality of attributes of the item. An attribute defines the functionality of an aspect of the item with respect to the current auction. At least one attribute comprises a value and a score associated with the value and a portion of the plurality of attributes comprise a relative weight. The auction is then published to at least one bidder. A bid is received from a bidder, wherein the bid comprises a value associated with at least one attribute. A composite score for the bid is calculated based on the bid and the specification. A plurality of bids are then ranked based on the composite score for each bid. An evaluation score is calculated for each bid based on the bid price and composite score. A plurality of bids are then ranked based on the evaluation score for each bid.

Construction of an index of assets comprises a computer having program code executing within a memory of the computer so as to define a universe of eligible companies using one or more filter criteria provided by a user. The companies in the eligible universe are ranked with regard to one or more parameters, each of which represents objective accounting-based data of the respective company. Respective rankings of each company are transformed into respective composite scores. A relative ranking among an index-component subset of the companies in the eligible universe is defined using the each index component's composite score in relation to the composite score of the other index components. In this way, a relative composite score results, which is used to weight the index components. The weighting results are output to the user. A method for such index construction is also disclosed.

The present invention provides a quantitative transaction strategy generation method, device, equipment and storage medium, wherein the method includes the following steps: factor clustering: defining factors related to the quantitative transaction financial strategy, and clustering the factors according to the definition; factor selection : Carry out single-factor optimization backtest on similar factors, and select the above-mentioned factors; Generate primary strategies: Arrange and combine the above-mentioned factors to generate multiple primary strategies; Quantitative backtest and optimization: Import historical data, use optimization algorithms to The multiple primary strategies are back-tested to generate back-test results, wherein the back-test results include individual scores and comprehensive scores; strategy selection: sort the backtest results of multiple strategies, and select the best comprehensive score according to user needs Or a strategy with a higher individual score. The invention automatically generates a better quantitative strategy, and the strategy engineer develops and improves it on the basis of this, which greatly reduces the workload of the engineer writing the strategy, improves work efficiency, and allows the strategy to be implemented quickly.

Multidimensional methods and systems for evaluating and comparing predictive models involve, for example, receiving data related to predictions produced by each of a plurality of different predictive models and determining a score for each of a plurality of dimensions for each of the predictive models. A composite score may be calculated for each of the predictive models based at least partly on the dimension scores, and a recommendation may be generated based on comparing the composite scores.

The invention provides a domain name access control system based on user evaluation, which comprises a client side and a server. The client side extracts a domain name from a domain name access request of a user, and judges whether the domain name is in a local domain name set; if not, a composite score of the reliability of the domain name from other users is acquired from the server; and access to the domain name is controlled according to the composite score. The server is used for computing the composite score of the reliability of the domain name from multiple users. In the system, the client side judges the reliability of the domain name according to the local domain name set, and domain name evaluation can be submitted to the server only after the user accesses a webpage, so that evaluation from the user not using the webpage is avoided. In addition, the historical evaluation reliability and a time parameter are introduced for the user, so that an influence due to hostile evaluation is reduced; the accuracy of the evaluation is improved; and an influence due to a change of the domain name service quality on the stability of the system is inhibited effectively.

To reduce cost and improve accuracy, the inventors devised systems, methods, and software to aid classification of text, such as headnotes and other documents, to target classes in a target classification system. For example, one system computes composite scores based on: similarity of input text to text assigned to each of the target classes; similarly of non-target classes assigned to the input text and target classes; probability of a target class given a set of one or more non-target classes assigned to the input text; and/or probability of the input text given text assigned to the target to the target classes. The exemplary system then evaluates the composite scores using class-specific decision criteria, such as thresholds, ultimately assigning or recommending assignment of the input text to one or more of the target classes. The exemplary system is particularly suitable for classification systems having thousands of classes.

A methodology for realtime paperless research in focus group generating valid actionable feedback and data before, during or within a very short period of the session. The methodology includes collection, processing mapping, analyzing and recognizing patterns of data points using multiple iterations in order to generate and output the valid actionable research data. The actionable data can be defined by converging data patterns and composite scores derived during the session. The methodology provides software tools and electronic survey mechanisms such that sufficient time can be expended to discuss the results between iterations. These interactive and focused discussions drive immediate changes in the survey such that the survey is ready in a short period of time for the next iteration. Converging patterns are generated by overlaying data from each iteration on top of the old data. Subcategories under parent categories are similarly processed during the group session.

The present disclosure provides a method for content object optimization. The method includes selecting an object user; obtaining content objects; determining a ranking of the content objects; determining a rotation value; presenting the content objects based on the ranking and rotation value; obtaining feedback associated with the content objects, the feedback obtained at least partially from one or more remote user systems over a communication network; determining empirical scores for the content objects; obtaining behavioral data of an observer user; determining behavioral scores for at least one of the content objects based on the behavioral data; determining a composite score for the at least one of the content objects based on empirical and behavioral scores; updating the ranking based on the composite score(s); presenting at least one of the content objects to the observer user based on the updated ranking.

Methods and apparatus for identifying disease status according to various aspects of the present invention include analyzing the levels of one or more biomarkers. The methods and apparatus may use biomarker data for a condition-positive cohort and a condition-negative cohort and select multiple relevant biomarkers from the plurality of biomarkers. The system may generate a statistical model for determining the disease status according to differences between the biomarker data for the relevant biomarkers of the respective cohorts. The methods and apparatus may also facilitate ascertaining the disease status of an individual by producing a composite score for an individual patient and comparing the patient's composite score to one or more threshold for identifying potential disease status.

The present invention discloses a cloud service evaluation method and apparatus. The cloud service evaluation method includes the steps of building, based on an effective expectation, an efficient expectation, an attraction expectation, a fault-tolerance expectation and an ease of use expectation, quality of experience (QoE) attributes of the cloud service evaluation and evaluation indexes corresponding to the QoE attributes, and building a cloud service evaluation QoE index system; performing regression analysis according to survey data of the cloud service evaluation QoE index system so as to determine a weight corresponding to each QoE attribute; and scoring a to-be-evaluated cloud service according to the cloud service evaluation QoE index system, adding scores of attribute indexes corresponding to all QoE attributes and then multiplying by the weight corresponding to the QoE attribute so as to obtain a weight composite score corresponding to each QoE attribute, and accumulating the weight composite scores corresponding to all QoE attributes so as to obtain final evaluation of the to-be-evaluated cloud service. The apparatus includes an index system building module, a regression analysis module and an evaluation module. A cloud service evaluation result conforms to a requirement of QoE of a user, and the user can select a proper cloud service product easily.

The invention provides a multi-level index weighting method for evaluating the effect of passivation restoration of polluted soil. The method of the present invention includes index establishment, graded assignment, weight distribution, and comprehensive evaluation, and specifically, according to the occurrence characteristics and interaction laws of heavy metals in the soil-crop-passivator system, quantitative technical, economic, ecological and Social factors establish an index system for evaluating the effectiveness of in situ passivation remediation of heavy metal contaminated farmland (4 first-level indicators and 19 second-level indicators); through risk and effect comparison, the evaluation indicators are graded and weighted to obtain a soil-crop-passivation The comprehensive scores of different combinations of soil-crop-passivation agents were compared to obtain the in-situ passivation remediation effect of heavy metal-contaminated farmland as the evaluation result. The method can be used for risk and effect prediction of heavy metal-contaminated farmland soil passivation remediation and similar technical systems, and formulation of prevention and control countermeasures.