144 results about "User assessment" patented technology

A method for computerized interactive search and retrieval of content items, in which contributed content items are separated into discrete classifications, provided to users, evaluated by certain users, and assigned a quality rating based on weightings of the evaluations.

The system comprises an improved document monitoring agent in which user evaluations are used to decide whether a changed document should be saved in the system or not. The evaluation of importance of the change in a document is performed by one or more users who collaboratively monitor a networked document, typically identified by a URL. By providing a user evaluation interface, it is possible for users to indicate their evaluation of the significance of the change. As such, only significantly changed documents, as indicated by the users themselves, are saved. Thus, a more efficient saving is obtained while at the same time reducing the risk of discarding potentially interesting changed documents which would have been discarded by conventional monitoring agents.

A system that (a) monitors and analyzes a website visitor's (or ‘user's’) behavioral patterns in real-time; (b) identifies key users by comparing the user's actions and information derived thereof to a set of pre-defined, merchant-specific business rules; (c) makes a sales and customer service offer to the user only if (1) The user satisfies the merchant's business rules and can therefore be defined as a ‘key’ customer and (2) a suitable sales assistant is online and available to deliver a sales pitch or service assistance to the customer; (d) notifies the available sales assistant only if the customer accepts of the customer service offer and (e) enables communication between the sales assistant and the user through a textual, audio or video interface, (f) improves the appropriateness of allocation of customer service representatives to users, based on user feedback, behavioral patterns and user evaluation.

At the start of a process, an information presenting section presents information expressed by a solution vector, while an auxiliary information presenting section presents information for facilitating comparative evaluation of multiple pieces of information being presented simultaneously. Based on these pieces of information, the user evaluates each solution vector. A model estimation executing section generates an evaluation model for an adjustment process from a user evaluation history, and thereafter, a model evaluation calculating section performs evaluation using the evaluation model. A fitness calculating section calculates fitness from the evaluation made by the user or by the model, and in accordance with the thus calculated fitness, a recombination operation section performs an arithmetical recombination operation. The above process is iteratively performed to carry out optimum adjustment of solution vectors.

Embodiments of the invention relate to methods and systems for evaluating entities for a target user, the method comprising obtaining, at a server computer, entity data from a plurality of data sources. The entity data is then stored in an entity database. The method further comprises merging the entity data from the plurality of data sources, mapping the entity data to a corresponding entity, and differentiating the entity. Then a relevance is determined associated with the entity data and data source. The method further comprises generating a set of entity evaluations to the target user using the relevance, determining a set of one or more entities relevant to the primary user based on the entity data, user data, and the relevance, with an initial order of relevance, and displaying, on a user device, the set of relevant entities to the target user in the order of relevance.

Trust networks in a recommender system are automatically updated in response to user feedback on recommendations provided by the trust network. In response to a user request, a set of referrals is generated, with some of the referrals being recommended based on judgment data received from members of the trust network. If the user evaluates the recommended referral, a trust parameter for at least one of the trust network members is updated based on the evaluation.

An aptitude and interest assessment tool identifies one or more sectors for which a user may have a special interest, talent or aptitude. An interactive session is presented to a user. The interactive session provides a virtual world. A user interacts with the virtual world. Some or all of the user's interactions in the virtual world can be stored in a storage device. The user's aptitude or interest in a profession or activity is assessed by an assessment module that receives data from the storage device and processes the received data to make a user assessment. A report providing the user assessment is created by a report creator.

Systems and methods are described for testing customer premise equipment in an offline fashion. According to certain embodiments, a testing system including one or more computing devices can identify a test scenario that includes information associated with one or more commands and expected results associated with the commands. Such commands can be executed by customer premise equipment. One or more respective images associated with the execution of a command can be captured, and information associated with the command, the associated expected result, and one or more respective images can be displayed for evaluation by a user to determine whether the command is operating properly in the customer premise equipment that executed the command. Certain embodiments describe a confidence level which can correspond to a number of images to be captured in order to decrease the possibility that content was not captured for evaluation.

Systems and methods for real-time collaborative computing and collective intelligence are disclosed. A collaborative application runs on a collaborative server connected to a plurality of computing devices. Collaborative sessions are run wherein a group of independent users, networked over the internet, collaboratively answer questions in real-time, thereby harnessing their collective intelligence. Methods are disclosed for assigning users to factions during a collaborative decision process, wherein the collaborative server repeatedly checks the input of each user with respect to a plurality of proposed answers and assigns the user to the faction associated with the answer the user is trying to select. Furthermore, user assessments are made based on a stored time-history of faction associations for that user during a decision period. Such assessments include, but are not limited to, determining which users were entrenched, which were flexible, and which were fickle, during the collective intelligence decision making process.

A method for capturing a user evaluation of distributed content comprising an Evaluation Program (EP). The user evaluation is saved with other information such as the time and date of distributed content access, the user's personal information, and the navigation path the user used to access the distributed content page. The EP creates a user session that records the user's navigation of the distributed content. The EP uses incentive programs to entice the user to rate the distributed content page. The EP gives the user the opportunity to rate distributed content if the distributed content page has a content rating window and if the user meets the minimum evaluation criteria for the distributed content page. The EP displays a content rating window allowing the user to rate the distributed content page. The EP saves the user's evaluation with the user session data and closes the user session when the user leaves the distributed content.

An investment guidance system which enables individuals to rate and select assets based on personal investment preferences. The system comprises a method for receiving a request to rate a plurality of assets, providing two or more criteria associated with the assets for a user to evaluate, receiving a relative weight of importance for the two or more criteria, and determining a rating for each asset based on the relative weights assigned to the two or more criteria. The system then ranks the plurality of assets based on the rated value for each asset, provides a list of the ranked assets and receives requests to execute trades for the ranked assets. The assets can comprise mutual funds, stocks, bonds, and / or other investment vehicles.

The invention discloses a multi-disease health risk factor evaluating system which comprises an input device, a storage calculation server and a visualized terminal device, wherein the input device, the storage calculation server and the visualized terminal device are connected in a data connection mode. In addition, the health risk factor evaluating system further comprises a front end health risk evaluating terminal, an information storage database, a calculation rule module, a personal information recording module, a statistical analysis module and a front end management terminal module. Through dynamic information collection, transmission and storage of a movable portable technique, initiative and accuracy of data sources are improved. Through analysis and separate calculation on an existing evaluating method for various diseases and health risks, a digital health risk evaluating model is built. Analysis and process of large amount of data improve the evaluating precision to more than 80%. Key management of the data is achieved, operating procedures by users are optimized, and evaluating time by the users is reduced and shortened to that input of evaluating information can be finished no more than five minutes.

A system for providing trusted-referrals includes a database of member-assessments. The member-assessments are related to user-appraisals that are provided by members of a trusted network of users. The system receives a referral-request from a member of the trusted network, and a module creates a trusted-referral using at least a portion of at least one member-assessment. The system provides the trusted-referral to member that requested the trusted-referral.

An investment guidance system which enables individuals to rate and select assets based on personal investment preferences. The system comprises a method for receiving a request to rate a plurality of assets, providing two or more criteria associated with the assets for a user to evaluate, receiving a relative weight of importance for the two or more criteria, and determining a rating for each asset based on the relative weights assigned to the two or more criteria. The system then ranks the plurality of assets based on the rated value for each asset, provides a list of the ranked assets and receives requests to execute trades for the ranked assets. The assets can comprise mutual funds, stocks, bonds, and / or other investment vehicles.

The present invention provides, in at least one embodiment, a system and method to improve the rating process by asking for feedback through a simple tag interface, which allows a user to rate content. The tag interface has an overall rating and at least one tag to be rated by the user. The user's rating of the tag helps classify the content for other users and the system forming a link between the user's overall rating and tag rating indicates the user's tastes. By systematically asking the users to evaluate a small subset of qualities in the form of tags, as opposed to asking each user to evaluate a large amount of tags, the system pieces together a large understanding of the content in a way that is very simple for the users.

A system for monitoring risk and generating alerts may include an interface to generate KRIs and KPIs. A monitoring station may use the KRIs and KPIs to evaluate data streams for risk. In response to detecting risks based on the KRIs and / or KPIs, the monitoring station may generate an alert. The alert may be assigned to a user account, for example, for the associated user to evaluate and work through resolution activities associated with the alert.

The high speed intelligent cable provided herein is multifunctional, lightweight, flexible and re-configurable. The cable assembly includes a low profile ribbon cable of multiple conductors. Built-in health indicators provide user assessment of, for example, connectivity. Active electronics and embedded intelligent firmware provide various functions, to include built-in test performance capability. Ready cable reconfiguration for system integration, or for other needs, is facilitated by logic and switching circuitry. Still further, built-in automatic multi-functional cable testing may include automatic reconfiguration. Testing and reconfiguration can be remotely activated. The cable described herein can reduce time and manhours needed for testing, installation, and maintenance. The lightweight multi-functional cable makes a positive contribution to the function / mass payload ratio in complex and mass-sensitive applications.

Remote site connections are screened based on assessments performed by members of a trust community. Data based on a plurality of end-user assessments of particular remote sites are received at a server from a plurality of end-users. Each end-user is associated with a specific client machine which is in communication with the server. The server generates assessment scores based on the data. Each of the assessment scores may be a ratio of end-users. The server transmits the assessment scores to the client machines. The client machine selectively takes protective action against ones of the particular remote sites that have an undesirable assessment score generated by the server. The protective action may be determined by comparing the assessment score against an individually specified end-user rule, wherein at least two client machines have different rules.

Disclosed is a recommendation method and device. The recommendation method and device includes: acquiring current user behavior data in a currently operating network system in real time to obtain real-time user behavior data of users on the network, the current user behavior data representing currently occurring user rating activities of the users on the network; updating existing rating data of the users, the existing rating data representing user ratings of network objects made by the users during prior interactions with the network system or other network systems, the updating comprising modifying the user ratings in accordance with the real-time acquired user behavior data to obtain current user rating data of the users currently interacting with the network system; determining based upon the current user rating data, one or more similarities chosen from a group of similarities consisting of similarities between the users on the network, similarities between the network objects rated by the users, and between similarities between the users and the network objects; and sending to users recommendations for new recommended network objects to users according to one or more of the determined similarities, the recommendations being sent to users while the users are currently interacting with the network system. The present disclosure can increase recommendation precision and improve recommendation effect.

A process for correcting the time stamp of recordings such as photographs, obtained in many locations. An onboard clock records a time stamp for each photograph. GPS tracking data is obtained during movement of the camera. A time correction is sought, to account for an unknown error in the onboard clock, relative to the trusted GPS time data. To this end, an assigned location of each photograph is generated from the location tracking data and from an estimated time correction. Indicators of an appropriate time correction include clustering of the assigned locations, and correlation of the assigned locations to locations of reduced velocity. A GUI can be used to enable user assessment of clustering and / or correlation, and indication of a suitable time correction. Or, algorithmic assessment can be used. The determined time correction can be used to correct each photograph's time stamp.

A method for securely relaying personal data between a telemedicine device and a remote terminal via a proxy server includes establishing a communication link between the telemedicine device and the proxy server over a first communication network. A request, including authentication access data, is received from a remote terminal for a remote user to assess personal data of a telemedicine device user. Upon validating the authentication access data to approve access to the personal data on the telemedicine device by the remote user, the personal data is relayed between the telemedicine device and the remote terminal in a remote assess session while preventing secure personal data of the telemedicine device user from being sent to the proxy server. If the telemedicine device communicates over a second communication network, the communication link is re-established with the proxy server over the second communication network without terminating the remote access session.

The invention discloses an automatic demand response evaluation system and method for demand side management. The system comprises a data acquisition module, a user demand response implementation effect evaluation module, a user simulation settlement module, a user assessment record module and a regional power grid response capability evaluation module. Demand response data can be reasonably evaluated, a basis is provided for improving demand response, the implementation effect of demand response can be better improved continuously, and the vital function of demand response on regional energy optimization is fully achieved.

The invention provides a system performance measurement method, a storage medium and a server. The method comprises the following steps of: obtaining a log file of a server in a system; obtaining using condition information of a business interface of the server according to the log file, and determining a resource distribution ratio of the system according to the using condition information; establishing a simulation scene, in the current environment, of the system according to the resource distribution ratio; carrying out pressure test on the basis of the simulation scene, and acquiring parameter values of performance indexes of the business interface of the system; quantifying the acquired performance indexes of the business interface into scores according to the resource distribution ratio and a pre-set performance index scoring table; and generating a performance evaluation report according to the quantified scores and the parameter values of the performance indexes of the businessinterface of the server. According to the method, performance indexes are quantified, so that users can conveniently assess performance of systems and then the server performance optimization efficiency is improved.

The invention relates to the field of network information security, and aims to provide a user risk assessment and analysis method based on a multi-dimensional behavior model. The user risk assessmentand analysis method based on the multi-dimensional behavior model can evaluate the user risk of an application with a log. Users are acquired by a product log; behavior features of the users are searched; behavior data form sample data; a cluster of normal behaviors is obtained by birch; lastly, normal behavior probability distribution of the user is obtained through a mixed Gauss model; and thenBayesian linear regression is adopted to obtain a linear model capable of accurately generalizing normal behaviors of the users. Through adoption of the method, risk assessment can be performed on online user states accurately, efficiently and intelligently.

The present invention provides a method of high-speed mobile user conversation identification in a mobile communication network. The method comprises: determining the range of high-speed rail / expressway / national road / urban ring road / urban viaduct way road non-service district list cell according to a high-speed mobile user group service district list cell; filtering user signaling data, and retaining user signaling data belonging to the high-speed mobile user group service district list cell and the high-speed rail / expressway / national road / urban ring road / urban viaduct way road non-service district list cell; and analyzing filtered user signaling data, and determining whether the user corresponding to the user signaling data belongs to the high-speed mobile user or not. The present invention further provides a system of high-speed mobile user conversation identification in a mobile communication network. The system comprises a determination module, a filtering module and an analysis module. The method and system of high-speed mobile user conversation identification in a mobile communication network are able to completely and rapidly identify a high-speed mobile user and perform user assessment well.

A method is disclosed for determining effectiveness of an online advertisement displayed on a first network page. The advertisement refers to at least one of an online shop, a product and a service offered by an online shop. The method include the steps of selecting a group of network users and presenting the online advertisement to a first number of users of the group of network users requesting the first network page, not presenting the online advertisement to a second number of users of the group of users requesting the first network page, assessing each user of the first number of users and of the second number of users with respect to at least one criteria and based on results of the assessment of the users, determining the effectiveness of the online advertisement on the first network page by comparing the user assessment results for the first number of users with the user assessment results for the second number of users.

The embodiment of the invention provides a business data processing system, the system comprises an application acceptance module, an application evaluation module and a post-lending processing module, and a serious of business data processing relevant processes of receiving business data application on line, acquiring and judging if user evaluation data suiting user evaluation conditions, passing and processing business data applications which are suitable for the user evaluation conditions, monitoring various data of individual / enterprise applicants, sending warning information and triggering a fund risk compensation mechanism are completed. In the above processes, the user evaluation data and the monitoring data are from a third party data system with public trust or a home terminal system, so that objective applicant data can be acquired without list and statement. Otherwise, the later risk can be effectively controlled through the monitoring of applicant monitoring data by the post-lending processing module and introducing a fund risk compensation mechanism, and whole online operation processes including acceptance, evaluation, processing, monitoring and risk controlling of the business data are realized.

Systems and methods for real-time collaborative computing and collective intelligence are disclosed. A collaborative application runs on a collaborative server connected to a plurality of computing devices. Collaborative sessions are run wherein a group of independent users, networked over the internet, collaboratively answer questions in real-time, thereby harnessing their collective intelligence. Methods are disclosed for assigning users to factions during a collaborative decision process, wherein the collaborative server repeatedly checks the input of each user with respect to a plurality of proposed answers and assigns the user to the faction associated with the answer the user is trying to select. Furthermore, user assessments are made based on a stored time-history of faction associations for that user during a decision period. Such assessments include, but are not limited to, determining which users were entrenched, which were flexible, and which were fickle, during the collective intelligence decision making process.