283 results about "Scoring rule" patented technology

A process for facilitating a client system defense training exercise implemented over a client-server architecture includes designated modules and hardware for protocol version identification message; registration; profiling; health reporting; vulnerability status messaging; storage; access and scoring. More particularly, the server identifies a rule-based vulnerability profile to the client and scores client responses in accordance with established scoring rules for various defensive and offensive asset training scenarios.

Systems and methods for the identification, recruitment, enrollment, and scoring of influential members of social groups are provided. One or more consumer events is monitored and analyzed by an event server. Data from these consumer events is then passed through standard and custom event models. Using these event models, a holistic social networking score is computed for each consumer using a set of standard and custom scoring rules. The holistic score may be used to compare individual consumers within a target market group and create a consumer marketing panel with a high degree of social networking value. The consumer marketing panels may then be segmented and used in various marketing campaigns. Value assessments for consumers may be validated and refined continuously or periodically using participation data from a series of artificial or actual marketing campaign events.

A method for determining which web page among multiple candidate web pages is similar to a given web page. For each candidate web page, a set of scoring rules is provided to score the components therein. When the given web page is compared against a candidate web page, each component that is found in both the given web page and the candidate web page under examination is given a score in accordance with the set of scoring rules that is specific to that web page under examination. A composite similarity score is computed for each comparison between the given webpage and a candidate web page. If the composite similarity score exceeds a predefined threshold value for a comparison between the given webpage and a candidate web page, that candidate web page is deemed the web page that is similar.

The invention discloses an automatic voice quality inspection method, a system thereof, a device and a storage medium. The method includes the following steps: obtaining a voice file to be inspected;processing the voice file to be inspected, and converting the voice file to be inspected into a structured text file; scoring the voice file to be inspected and the structured text file according to apreset quality inspection scoring dimension and a preset score rule, and obtaining the score corresponding to each quality inspection scoring dimension; wherein, the quality inspection scoring dimension includes speech rate and silent analysis scoring, emotional analysis scoring, keyword and sensitive word detection scoring, and quality inspection rule matching scoring; and obtaining the final score of the voice file to be inspected according to the score corresponding to each quality inspection scoring dimension. The method can realize automatic voice quality inspection, and improves qualityinspection efficiency and accuracy.

Apparatus and associated systems, methods, and computer program products relate to identifying types of search query terms based on the location of information that matches the search query terms. The query terms may be assigned weights according to the query type. The assigned weights may be used, in conjunction with a scoring rule, to determine a score that indicates how relevant blocks of information in the selected document are to the search query terms. In one example, query terms that are located in the title or the URL information associated with a document are classified as a query type that is assigned little or no weight. In this way, relevance scoring within a document may be improved by discounting the influence of query terms that are likely to be primarily meaningful for locating (i.e., navigating to) a relevant document, but less meaningful for locating relevant information within a document.

Some embodiments promote website credibility and the optimization of websites for people by automatedly quantifying various elements of a website into component credibility scores. In some embodiments, a set of encoded credibility scoring rules are used to compute each of the component credibility scores, wherein the credibility scoring rules are derived based on factors that have been identified by a grouping of people that preferably represent a primary demographic of users that consume the content of a particular classified type of website. In some such embodiments, the credibility scoring rules are derived from commonality that is identified from a sample set of known credible and/or non-credible websites of a particular classification. Once the credibility scoring rules are defined, the system applies the rules to other websites having the same classification as those from which the rules are derived to automatically generate credibility scores for the other websites.

A system and method for configuring a scoring rule is described. One embodiment includes constructing a performance level code for each performance metric in the scoring rule, designating performance levels and corresponding raw score ranges for each performance level code, assigning a performance metric point maximum to each performance metric and assigning a performance level weighting to each performance level. These relationships, which define the scoring rule, are set forth in a performance level code repository and a scoring rule repository. A system and method for computing a supplier performance rating also are described. In one embodiment, a raw score generator generates a raw score for each performance metric in the scoring rule, a performance level generator converts the raw scores into performance levels, a scaled score generator converts the performance levels into scaled scores and a performance rating generator sums the scaled scores to produce the performance rating.

The invention discloses a quantitative scoring method of a power equipment state. The method comprises the following steps of: collecting parameters of power equipment state quantity; calculating an equipment state quantity score according to a scoring rule made in advance; according to a reasonable score set in the scoring rule, determining whether the equipment is normal or not. According to the invention, state evaluation in a state overhaul field is refined, being different from a general overhaul system, the method of the invention focuses on equipment state scoring, predication assessment and risk control, and overhaul personnel and pretesting personnel are helped to grasp the present running information of the equipment in real time. By using the method of the present invention, blindness in the process of equipment maintenance can be obviously reduced, maintenance deficiency or excess is avoided, at the same time, a large amount of repair cost is saved, the safe and stable operation of the equipment are ensured.

The invention discloses an application recommendation method and device. The method comprises obtaining all user web surfing records in preset time, and calculating access information of all user access applications; sorting all user access information on account of all applications and calculating all user application access interest scores based on preset sorting scoring rules; analyzing all application access interest scores of all users to obtain user categories and the similarity among all users in the user categories, and performing application recommendation based on the similarity among the users. By means of the method and the device, the access information is analyzed to obtain the interest scores of the users towards the applications, the similarity among the users is obtained through the application access interest scores of the users, and the application recommendation is achieved through the similarity between the interest scores and the users, accordingly, application recommendation is achieved, human interventions in application recommendation are prevented, and recommendation of applications interested by users is achieved.

The invention relates to an oil reservoir endogenous microorganism high-efficient activator and an effect evaluation method thereof. The method comprises: the evaluation of activator components based on the economic and technical feasibility of the application of the activator; the evaluation of the activation effect of the activator based on the selective activation of oil reservoir endogenous microorganisms, the changes of biochemical indexes of oil and water samples, and the extent of the improvement of the crude oil recovery efficiency by physical simulation oil displacement experiments; the construction of detailed scoring rules of the activator and its effect with respect to the economic and technical feasibility, the selective activation of endogenous microorganisms, the biochemical indexes of oil and water samples, and physical simulation oil displacement; the construction of grade division methods of the activator and its effect based on the scoring conditions of each index. The evaluation method of the invention has the advantages of systemic and comprehensive evaluation indexes, low operation cost, and subsequent referential evaluation indexes, solves the current problems of the lack of an oil reservoir endogenous microorganism high-efficient activator and its standardized evaluation method, and provides an systemic and effective evaluation method for the smooth oil field application of the oil reservoir endogenous microorganism high-efficient activator.

The invention discloses a transcoding task scheduling method and system. The method comprises the steps of acquiring corresponding video attribute information from a video to be transcoded and generating transcoding tasks containing score label information based on a preset score rule, placing the transcoding tasks containing the score label information in corresponding resource pool queues according to a preset score grading rule, and conducting transcoding on the transcoding tasks in each resource pool queue based on the first-in first-out processing mechanism. According to the transcoding task scheduling method and system, judgment of the priority and code rate of the video to be transcoded is conducted according to a preset video attribute rule, grouping is conducted at the same time according to the performance of a transcoding machine, and therefore the problem that current transcoding machines of video websites can not conduct transcoding task scheduling reasonably according to the state of a server and transcoding task attributes is effectively solved.

The present invention provides a poem recitation evaluation method, a poem recitation evaluation system, a terminal and a storage medium. The method includes the following steps that: a client determines a poem to be recited; the speech of the poem to be recited is obtained; the speech is preprocessed; the preprocessed speech is uploaded to a server; a pre-established recognition model in the server is adopted to convert the speech into a text; the text is compared with the poem to be recited, and the score of the text is calculated according to a preset scoring rule; and the score is fed back to the client.

A method of playing an object selection game (20), includes providing a set of objects containing a plurality of different individual objects, wherein each individual object has an order value in accordance with an ordering rule. A subset of the set of objects is dealt to a player in accordance with a dealing rule. A portion of the subset of objects is revealed to the player in accordance with a revealing rule. The player then selects any previously unselected object from the subset of objects in accordance with a selecting rule. After each selection, a terminating rule is used to test whether play shall stop, or whether additional objects are selected. The terminating rule stops play if objects are not selected in proper sequential order in accordance with the ordering rule. After play is stopped, a score is computed in accordance with a scoring rule. In preferred embodiments, the set of objects are playing cards, and a wager is placed on the outcome of the game.

The invention discloses a question and answer method based on the live broadcast technology, a server and a storage medium. The method comprises the following steps: receiving a request of audience tomake a question to an anchor; displaying the received question to the anchor and the audience in a preset display manner; receiving a following operation of the question by the audience, performing statistics on the number of audience and the following amount of each question, recording a preset number of keywords of each question, and recording fee payment information; scoring the question by using a preset scoring rule according to at least one of the number of audience, the following amount, the number of keywords and the fee payment information, calculating a question score of each question, sorting all questions according to the question scores and reminding the anchor to preferentially answer the question with a high priority score; and recording the answer of the anchor, and notifying the quizzing audience and the audience following the question in a preset feedback ode. According to the question and answer method disclosed by the invention, the questions made by the audience are preferentially sorted to effectively manage and control the question and answer link in a live broadcast process, so that the effect of the live broadcast programs is improved.

The invention provides an automatic extraction method and system of a house type feature, an electronic device and a storage medium. The automatic extraction method comprises a step of reading vectorinformation of a target house type image, a step of inputting the vector information of the target house type image into a preset house type feature extraction model to obtain a feature label corresponding to the target house type image, wherein the house type feature extraction model stores a one-to-one correspondence between each vector information and the feature label, a step of scoring each feature label of the target house type image according to a preset scoring rule, and counting the scores of all feature labels of the target house type image to obtain an overall score of the target house type image, and a step of outputting the feature labels of the target image and the total score. According to the automatic extraction method and system of a house type feature, the electronic device and the storage medium, the various features of a house type can be efficiently, accurately and automatically extracted, and thus the cost of labor and time can be effectively reduced.

Methods, system and/or computer program products provide prescriptive learning by providing a user independent hierarchy of competencies, competency characteristics and assessments with associated rules that identify learning activities and identifying a user specific path through the hierarchy for a selected competency and competency characteristic based on the hierarchy, scoring of at least one question associated with at least one assessment associated with the selected competency characteristic, the rules and user specific information to provide a user specific identification of learning activities.

The embodiment of the invention discloses a code evaluation method, device and system for teaching. The method includes the steps that a code evaluation request from a webpage is intercepted and carries information of a target topic; a code to be evaluated is received, and the code to be evaluated is complied in the compiling environment of the target topic, wherein an expected input value group of the target topic in a database is called and substituted into the code to be evaluated to run, an compiling result group is output, and the expected input value group comprises one or more expected input values; the output compiling result group is compared with an expected output value group, and a corresponding score is output in a matched mode according to the comparing result; a corresponding score group is calculated according to a preset scoring rule, and the code evaluation score obtained through calculation is returned to the webpage. Due to the method, code evaluation can be efficiently achieved, and meanwhile, the code to be evaluated can be graded more accurately.

A system comprises a machine readable storage medium having an index that, given a set of inputs, a set of outputs, a set of input categories, and a scoring rule, provides an ordered subset of the outputs for each input category. The outputs within each subset are ordered by predicted score with respect to an input from one of the input categories. At least one processor is capable of receiving an input corresponding to at least one of the set of input categories. The processor is configured for scoring a reduced set of outputs against the received input using the scoring rule. The reduced set of outputs includes a union of the subsets of outputs associated with each input category to which the received inputs correspond. The processor is configured for outputting a list including a subset of the reduced set of outputs having the highest scores.

The embodiment of the invention is applicable to the technical field of charging piles, and discloses a charging health index scoring method and device, terminal equipment and a computer readable storage medium, and the method comprises the steps: obtaining electric vehicle charging data uploaded by a charging pile; Identifying a user charging behavior according to the charging data; And calculating a charging health score according to the charging behavior and a preset scoring rule. According to the embodiment of the invention, the method achieves the analysis of the charging behavior of theuser, reflects the charging behavior analysis result through the charging health score, enables the user to visually know whether the charging behavior is safe and healthy, and improves the charging experience of the user.

The invention discloses a personalized recommendation method of a tourism route based on group intelligence perception, which integrates the POI social score of group intelligence perception and the POI location score of group intelligence perception on the basis of user interest matching, so that the scoring rules are more comprehensive. In addition, the proposed scenic spot recommending algorithm suitable for the condition of no must-go scenic spots namely, the variable nearest neighbor tour route recommendation algorithm, and the single/multi-POI two-stage greedy tourism route recommendation algorithm for the must-go scenic spots are not only low in time complexity, but also more suitable for users' preference and have rationality.

A computing system and method are provided for impact assessment and treatment of social media content, the system operating on social media content received at a social media conveyance computing system. The system includes at least one computer memory storing filtering rules and scoring rules, the score indicating a degree of negative impact of the social media content. The system additionally includes an information capture system for receiving a social media stream, the social media stream including multiple messages and a pre-processing computing system for processing the messages in the social media stream and extracting metadata related to each message. The system further includes a filtering and scoring computing system for receiving each message and associated metadata from each. The filtering and scoring computing system filters and scores the content and determines a degree of negative impact.